From 110f3a34f1f36d0ea999d4aa34bbe66d5f2a01da Mon Sep 17 00:00:00 2001 From: Jules Laplace Date: Sun, 16 Dec 2018 15:02:59 +0100 Subject: skip empty, pull citations again --- scraper/README.md | 4 ++-- scraper/pdf_dump_first_page.sh | 8 +++++++- scraper/reports/report_coverage.html | 2 +- scraper/reports/report_index.html | 2 +- scraper/s2-citation-report.py | 8 ++++++-- scraper/s2-geocode-spreadsheet.py | 2 +- scraper/util.py | 16 ++++++++++------ 7 files changed, 28 insertions(+), 14 deletions(-) (limited to 'scraper') diff --git a/scraper/README.md b/scraper/README.md index 318bba9a..4399abd3 100644 --- a/scraper/README.md +++ b/scraper/README.md @@ -70,9 +70,9 @@ Included in the content-script folder is a Chrome extension which scrapes Google Once you have the data from S2, you can scrape all the PDFs (and other URLs) you find, and then extract institutions from those and geocode them. -### s2-dump-pdf-urls.py +### s2-dump-db-pdf-urls.py -Dump PDF urls (and also IEEE urls etc) to CSV files. +Dump PDF urls (and also DOI urls etc) to CSV files. ### s2-fetch-pdf.py diff --git a/scraper/pdf_dump_first_page.sh b/scraper/pdf_dump_first_page.sh index 2749915d..6277d40c 100644 --- a/scraper/pdf_dump_first_page.sh +++ b/scraper/pdf_dump_first_page.sh @@ -6,7 +6,13 @@ for i in datasets/s2/pdf/*/*/*.pdf if [[ ! -e $OUTPUT ]] then pdf2txt.py -p 1 $i > $OUTPUT - echo $OUTPUT + if [ -s $OUTPUT ] + then + echo "found $OUTPUT" + else + echo "rm empty $OUTPUT" + rm -f $OUTPUT + fi else if [ -s $OUTPUT ] then diff --git a/scraper/reports/report_coverage.html b/scraper/reports/report_coverage.html index 51e53e72..41716aaa 100644 --- a/scraper/reports/report_coverage.html +++ b/scraper/reports/report_coverage.html @@ -1 +1 @@ -Coverage

Coverage

Paper IDMegapixels KeyMegapixels NameReport LinkPDF LinkJournalTypeAddressLatLngCoverageTotal CitationsGeocoded CitationsUnknown CitationsEmpty CitationsWith PDFWith DOI
b5f2846a506fc417e7da43f6a7679146d99c5e96ucf_101UCF101UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild[pdf]CoRReduUniversity of Central Florida28.59899755-81.1971250154%99953546473708212
0e986f51fe45b00633de9fd0c94d082d2be51406afwAFWFace detection, pose estimation, and landmark localization in the wild[pdf]2012 IEEE Conference on Computer Vision and Pattern RecognitioneduUniversity of California, Irvine33.64319010-117.8401649452%99952147859607273
370b5757a5379b15e30d619e4d3fb9e8e13f32563dddb_unconstrained3D DynamicLabeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments[pdf]47%99947252671619260
370b5757a5379b15e30d619e4d3fb9e8e13f3256ar_facedbAR FaceLabeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments[pdf]47%99947252671619260
370b5757a5379b15e30d619e4d3fb9e8e13f3256m2vtsdb_extendedxm2vtsdbLabeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments[pdf]47%99947252671619260
370b5757a5379b15e30d619e4d3fb9e8e13f3256put_facePut FaceLabeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments[pdf]47%99947252671619260
759a3b3821d9f0e08e0b0a62c8b693230afc3f8dpubfigPubFigAttribute and simile classifiers for face verification[pdf]2009 IEEE 12th International Conference on Computer VisioneduColumbia University40.84198360-73.9436897151%89445444055587222
4d9a02d080636e9666c4d1cc438b9893391ec6c7cohn_kanade_plusCK+The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression[pdf]2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops41%97540357265460345
2e384f057211426ac5922f1b33d2aa8df5d51f57a_pascal_yahooaPascalDescribing objects by their attributes[pdf]2009 IEEE Conference on Computer Vision and Pattern Recognition39%9993936067172773
162ea969d1929ed180cc6de9f0bf116993ff6e06vgg_facesVGG FaceDeep Face Recognition[pdf]Unknown39%99939360671621156
23fc83c8cfff14a16df7ca497661264fc54ed746cohn_kanadeCKComprehensive Database for Facial Expression Analysis[pdf]eduCarnegie Mellon University37.41021930-122.0596548738%99938061975555252
01959ef569f74c286956024866c1d107099199f7vqaVQAVQA: Visual Question Answering[pdf]2015 IEEE International Conference on Computer Vision (ICCV)47%731344387476284
6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4celebaCelebADeep Learning Face Attributes in the Wild[pdf]2015 IEEE International Conference on Computer Vision (ICCV)eduChinese University of Hong Kong22.42031295114.2078864442%8083404686966650
4d423acc78273b75134e2afd1777ba6d3a398973cmu_pieCMU PIEInternational Conference on Automatic Face and Gesture Recognition The CMU Pose , Illumination , and Expression ( PIE ) Database[pdf]44%74233041261410232
abe9f3b91fd26fa1b50cd685c0d20debfb372f73vocVOCThe Pascal Visual Object Classes Challenge: A Retrospective[pdf]International Journal of Computer Vision32%999315684756986
45c31cde87258414f33412b3b12fc5bec7cb3ba9jaffeJAFFECoding Facial Expressions with Gabor Wavelets[pdf]eduKyushu University33.59914655130.2235984836%84830854056413255
31b58ced31f22eab10bd3ee2d9174e7c14c27c01tiny_imagesTiny ImagesNonparametric Object and Scene Recognition[pdf]31%999305694936709
140438a77a771a8fb656b39a78ff488066eb6b50lfw_pLFWPLocalizing Parts of Faces Using a Consensus of Exemplars[pdf]IEEE Transactions on Pattern Analysis and Machine IntelligenceeduColumbia University40.84198360-73.9436897153%52127424740321144
18ae7c9a4bbc832b8b14bc4122070d7939f5e00efrgcFRGCOverview of the face recognition grand challenge[pdf]2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)25%99925374611057264
32cde90437ab5a70cf003ea36f66f2de0e24b3abcityscapesCityscapesThe Cityscapes Dataset for Semantic Urban Scene Understanding[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)33%771252519546220
32cde90437ab5a70cf003ea36f66f2de0e24b3abcityscapesCityscapesThe Cityscapes Dataset for Semantic Urban Scene Understanding[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)33%771252519546220
2ad0ee93d029e790ebb50574f403a09854b65b7eyale_facesYaleFacesAcquiring linear subspaces for face recognition under variable lighting[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence25%999251748110509113
2ad0ee93d029e790ebb50574f403a09854b65b7eyale_facesYaleFacesAcquiring linear subspaces for face recognition under variable lighting[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence25%999251748110509113
560e0e58d0059259ddf86fcec1fa7975dee6a868youtube_facesYouTubeFacesFace recognition in unconstrained videos with matched background similarity[pdf]CVPR 2011eduOpen University of Israel32.7782416534.9956567350%48524424032290140
3607afdb204de9a5a9300ae98aa4635d9effcda2sheffieldSheffield FaceFace Description with Local Binary Patterns: Application to Face Recognition[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence24%9992387616548387
853bd61bc48a431b9b1c7cab10c603830c488e39casia_webfaceCASIA WebfaceLearning Face Representation from Scratch[pdf]CoRR53%43623320332284115
2830fb5282de23d7784b4b4bc37065d27839a412h3dH3DPoselets: Body part detectors trained using 3D human pose annotations[pdf]2009 IEEE 12th International Conference on Computer Vision32%7072234846248218
10d6b12fa07c7c8d6c8c3f42c7f1c061c131d4c5inria_personINRIA PedestrianHistograms of oriented gradients for human detection[pdf]2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)22%9992177826752022
55206f0b5f57ce17358999145506cd01e570358corlORLO M 4 . 1 The Subject Database 4 . 2 Experiment Plan 5 . 1 Varying the Overlap 4 Experimental Setup 5 Parameterisation Results[pdf]21%9992147859655057
9055b155cbabdce3b98e16e5ac9c0edf00f9552fmorphMORPH CommercialMORPH: a longitudinal image database of normal adult age-progression[pdf]7th International Conference on Automatic Face and Gesture Recognition (FGR06)46%42419522927231155
9055b155cbabdce3b98e16e5ac9c0edf00f9552fmorph_ncMORPH Non-CommercialMORPH: a longitudinal image database of normal adult age-progression[pdf]7th International Conference on Automatic Face and Gesture Recognition (FGR06)46%42419522927231155
93884e46c49f7ae1c7c34046fbc28882f2bd6341kdefKDEFGaze fixation and the neural circuitry of face processing in autism[pdf]Nature Neuroscience31%608190418924630
8a3c5507237957d013a0fe0f082cab7f757af6eemaflMAFLFacial Landmark Detection by Deep Multi-task Learning[pdf]eduChinese University of Hong Kong22.42031295114.2078864448%3831822012525960
8a3c5507237957d013a0fe0f082cab7f757af6eemaflMAFLFacial Landmark Detection by Deep Multi-task Learning[pdf]eduChinese University of Hong Kong22.42031295114.2078864448%3831822012525960
8a3c5507237957d013a0fe0f082cab7f757af6eemtflMTFLFacial Landmark Detection by Deep Multi-task Learning[pdf]eduChinese University of Hong Kong22.42031295114.2078864448%3831822012525960
8a3c5507237957d013a0fe0f082cab7f757af6eemtflMTFLFacial Landmark Detection by Deep Multi-task Learning[pdf]eduChinese University of Hong Kong22.42031295114.2078864448%3831822012525960
6bd36e9fd0ef20a3074e1430a6cc601e6d407fc3cuhk03CUHK03DeepReID: Deep Filter Pairing Neural Network for Person Re-identification[pdf]2014 IEEE Conference on Computer Vision and Pattern Recognition35%512180332293234
3325860c0c82a93b2eac654f5324dd6a776f609empii_human_poseMPII Human Pose2D Human Pose Estimation: New Benchmark and State of the Art Analysis[pdf]2014 IEEE Conference on Computer Vision and Pattern Recognition50%356179177212993
95f12d27c3b4914e0668a268360948bce92f7db3helenHelenInteractive Facial Feature Localization[pdf]eduUniversity of Illinois, Urbana-Champaign40.11116745-88.2258766552%33917716227208100
2724ba85ec4a66de18da33925e537f3902f21249cofwCOFWRobust Face Landmark Estimation under Occlusion[pdf]2013 IEEE International Conference on Computer Vision55%3051671381618695
6273b3491e94ea4dd1ce42b791d77bdc96ee73a8viperVIPeREvaluating Appearance Models for Recognition, Reacquisition, and Tracking[pdf]27%584159425383369
a74251efa970b92925b89eeef50a5e37d9281ad0aflwAFLWAnnotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization[pdf]2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)53%2921551373820759
a74251efa970b92925b89eeef50a5e37d9281ad0imm_faceIMM Face DatasetAnnotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization[pdf]2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)53%2921551373820759
a74251efa970b92925b89eeef50a5e37d9281ad0muctMUCTAnnotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization[pdf]2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)53%2921551373820759
4308bd8c28e37e2ed9a3fcfe74d5436cce34b410market_1501Market 1501Scalable Person Re-identification: A Benchmark[pdf]2015 IEEE International Conference on Computer Vision (ICCV)38%394149245182713
2a75f34663a60ab1b04a0049ed1d14335129e908mmi_facial_expressionMMI Facial Expression DatasetWeb-based database for facial expression analysis[pdf]2005 IEEE International Conference on Multimedia and Expo32%4401422984425882
639937b3a1b8bded3f7e9a40e85bd3770016cf3cbfmBFMA 3D Face Model for Pose and Illumination Invariant Face Recognition[pdf]2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance41%3231311922922125
cc589c499dcf323fe4a143bbef0074c3e31f9b60bu_3dfeBU-3DFEA 3D facial expression database for facial behavior research[pdf]7th International Conference on Automatic Face and Gesture Recognition (FGR06)eduSUNY Binghamton42.08779975-75.9706606624%5551314244728348
696ca58d93f6404fea0fc75c62d1d7b378f47628cocoCOCOMicrosoft COCO Captions: Data Collection and Evaluation Server[pdf]CoRR46%283129154162314
4053e3423fb70ad9140ca89351df49675197196abio_idBioID FaceRobust Face Detection Using the Hausdorff Distance[pdf]26%4981273715531932
3765df816dc5a061bc261e190acc8bdd9d47bec0rafdRaFDPresentation and validation of the Radboud Faces Database[pdf]Unknown28%4461273194330719
2fda164863a06a92d3a910b96eef927269aeb730names_and_faces_newsNews DatasetNames and faces in the news[pdf]Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.41%2941201742420745
4b1d23d17476fcf78f4cbadf69fb130b1aa627c0leeds_sports_poseLeeds Sports PoseClustered Pose and Nonlinear Appearance Models for Human Pose Estimation[pdf]43%278119159121982
2258e01865367018ed6f4262c880df85b94959f8motMOTEvaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics[pdf]EURASIP J. Image and Video Processing20%586119467483363
2258e01865367018ed6f4262c880df85b94959f8motMOTEvaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics[pdf]EURASIP J. Image and Video Processing20%586119467483363
2258e01865367018ed6f4262c880df85b94959f8motMOTEvaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics[pdf]EURASIP J. Image and Video Processing20%586119467483363
4b1d23d17476fcf78f4cbadf69fb130b1aa627c0stickmen_pascalStickmen PASCALClustered Pose and Nonlinear Appearance Models for Human Pose Estimation[pdf]43%278119159121982
4b1d23d17476fcf78f4cbadf69fb130b1aa627c0stickmen_pascalStickmen PASCALClustered Pose and Nonlinear Appearance Models for Human Pose Estimation[pdf]43%278119159121982
6dd0597f8513dc100cd0bc1b493768cde45098a9stickmen_buffyBuffy StickmenLearning to parse images of articulated bodies[pdf]31%373117256302382
6dd0597f8513dc100cd0bc1b493768cde45098a9stickmen_buffyBuffy StickmenLearning to parse images of articulated bodies[pdf]31%373117256302382
3316521a5527c7700af8ae6aef32a79a8b83672ctud_campusTUD-CampusPeople-tracking-by-detection and people-detection-by-tracking[pdf]2008 IEEE Conference on Computer Vision and Pattern Recognition22%529116413413161
3316521a5527c7700af8ae6aef32a79a8b83672ctud_crossingTUD-CrossingPeople-tracking-by-detection and people-detection-by-tracking[pdf]2008 IEEE Conference on Computer Vision and Pattern Recognition22%529116413413161
3316521a5527c7700af8ae6aef32a79a8b83672ctud_pedestrianTUD-PedestrianPeople-tracking-by-detection and people-detection-by-tracking[pdf]2008 IEEE Conference on Computer Vision and Pattern Recognition22%529116413413161
140c95e53c619eac594d70f6369f518adfea12efijb_aIJB-APushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A[pdf]2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)48%2221071152115848
4c170a0dcc8de75587dae21ca508dab2f9343974face_tracerFaceTracerFaceTracer: A Search Engine for Large Collections of Images with Faces[pdf]eduColumbia University40.84198360-73.9436897148%2181051131714652
4c170a0dcc8de75587dae21ca508dab2f9343974face_tracerFaceTracerFaceTracer: A Search Engine for Large Collections of Images with Faces[pdf]eduColumbia University40.84198360-73.9436897148%2181051131714652
7808937b46acad36e43c30ae4e9f3fd57462853dberkeley_poseBPADDescribing people: A poselet-based approach to attribute classification[pdf]2011 International Conference on Computer Vision43%221961251416023
e8de844fefd54541b71c9823416daa238be65546visual_phrasesPhrasal RecognitionRecognition using visual phrases[pdf]CVPR 201141%23395138181745
16c7c31a7553d99f1837fc6e88e77b5ccbb346b8pridPRIDPerson Re-identification by Descriptive and Discriminative Classification[pdf]27%35294258261953
1dc35905a1deff8bc74688f2d7e2f48fd2273275caltech_pedestriansCaltech PedestriansPedestrian detection: A benchmark[pdf]2009 IEEE Conference on Computer Vision and Pattern Recognition17%51989430272862
1dc35905a1deff8bc74688f2d7e2f48fd2273275caltech_pedestriansCaltech PedestriansPedestrian detection: A benchmark[pdf]2009 IEEE Conference on Computer Vision and Pattern Recognition17%51989430272862
35b0331dfcd2897abd5749b49ff5e2b8ba0f7a62coco_qaCOCO QAExploring Models and Data for Image Question Answering[pdf]43%19183108121631
291265db88023e92bb8c8e6390438e5da148e8f5mscelebMsCelebMS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition[pdf]50%16783841513127
13f06b08f371ba8b5d31c3e288b4deb61335b462eth_andreas_essETHZ PedestrianDepth and Appearance for Mobile Scene Analysis[pdf]2007 IEEE 11th International Conference on Computer Vision25%31979240271920
52d7eb0fbc3522434c13cc247549f74bb9609c5dwider_faceWIDER FACEWIDER FACE: A Face Detection Benchmark[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)eduChinese University of Hong Kong22.42031295114.2078864453%14878701610734
2485c98aa44131d1a2f7d1355b1e372f2bb148adcas_pealCAS-PEALThe CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations[pdf]IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans18%415763393918235
1aad2da473888cb7ebc1bfaa15bfa0f1502ce005jpl_poseJPL-Interaction datasetFirst-Person Activity Recognition: What Are They Doing to Me?[pdf]2013 IEEE Conference on Computer Vision and Pattern Recognition51%148767281093
2485c98aa44131d1a2f7d1355b1e372f2bb148adm2vtsm2vtsThe CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations[pdf]IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans18%415763393918235
436f798d1a4e54e5947c1e7d7375c31b2bdb4064tud_multiviewTUD-MultiviewMonocular 3D pose estimation and tracking by detection[pdf]2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition25%30276226321991
436f798d1a4e54e5947c1e7d7375c31b2bdb4064tud_stadtmitteTUD-StadtmitteMonocular 3D pose estimation and tracking by detection[pdf]2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition25%30276226321991
133f01aec1534604d184d56de866a4bd531dac87lfw_aLFW-aEffective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence42%177751021510254
1be498d4bbc30c3bfd0029114c784bc2114d67c0adienceAdienceAge and Gender Estimation of Unfiltered Faces[pdf]IEEE Transactions on Information Forensics and Security43%168729678953
21d9d0deed16f0ad62a4865e9acf0686f4f15492images_of_groupsImages of GroupsUnderstanding images of groups of people[pdf]2009 IEEE Conference on Computer Vision and Pattern Recognition36%202721301212624
18010284894ed0edcca74e5bf768ee2e15ef7841deep_fashionDeepFashionDeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)47%150717941118
18010284894ed0edcca74e5bf768ee2e15ef7841deep_fashionDeepFashionDeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)47%150717941118
4e4746094bf60ee83e40d8597a6191e463b57f76leeds_sports_pose_extendedLeeds Sports Pose ExtendedLearning effective human pose estimation from inaccurate annotation[pdf]CVPR 201140%1737010391162
2eed184680edcdec8a3b605ad1a3ba8e8f7cc2e9grazGraz PedestrianGeneric object recognition with boosting[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence24%28669217161890
2eed184680edcdec8a3b605ad1a3ba8e8f7cc2e9grazGraz PedestrianGeneric object recognition with boosting[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence24%28669217161890
2eed184680edcdec8a3b605ad1a3ba8e8f7cc2e9grazGraz PedestrianGeneric object recognition with boosting[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence24%28669217161890
44484d2866f222bbb9b6b0870890f9eea1ffb2d0cuhk01CUHK01Human Reidentification with Transferred Metric Learning[pdf]26%25867191121411
96e0cfcd81cdeb8282e29ef9ec9962b125f379b0megafaceMegaFaceThe MegaFace Benchmark: 1 Million Faces for Recognition at Scale[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)eduUniversity of Washington47.65432380-122.3080089455%1216655119820
96e0cfcd81cdeb8282e29ef9ec9962b125f379b0megafaceMegaFaceThe MegaFace Benchmark: 1 Million Faces for Recognition at Scale[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)eduUniversity of Washington47.65432380-122.3080089455%1216655119820
9361b784e73e9238d5cefbea5ac40d35d1e3103ftowncenterTownCenterStable Multi-Target Tracking in Real-Time Surveillance Video (Preprint)[pdf]21%31064246241774
10195a163ab6348eef37213a46f60a3d87f289c5imdb_wikiIMDBDeep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks[pdf]International Journal of Computer Vision44%1335974149028
10195a163ab6348eef37213a46f60a3d87f289c5imdb_wikiIMDBDeep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks[pdf]International Journal of Computer Vision44%1335974149028
2acf7e58f0a526b957be2099c10aab693f795973bosphorusThe BosphorusBosphorus Database for 3D Face Analysis[pdf]18%328582701814337
27a2fad58dd8727e280f97036e0d2bc55ef5424cduke_mtmcDuke MTMCPerformance Measures and a Data Set for Multi-target, Multi-camera Tracking[pdf]43%136587861070
56ffa7d906b08d02d6d5a12c7377a57e24ef3391unbc_shoulder_painUNBC-McMaster PainPainful data: The UNBC-McMaster shoulder pain expression archive database[pdf]Face and Gesture 201132%184581262311223
38b55d95189c5e69cf4ab45098a48fba407609b4cuhk02CUHK02Locally Aligned Feature Transforms across Views[pdf]2013 IEEE Conference on Computer Vision and Pattern Recognition24%24257185171391
2f5d44dc3e1b5955942133ff872ebd31716ec604frav3dFRAV3D2D and 3D face recognition: A survey[pdf]Pattern Recognition Letters15%389573322819817
a6e695ddd07aad719001c0fc1129328452385949yfcc_100mYFCC100MThe New Data and New Challenges in Multimedia Research[pdf]CoRR36%16057103111054
0d3bb75852098b25d90f31d2f48fd0cb4944702bface_scrubFaceScrubA data-driven approach to cleaning large face datasets[pdf]2014 IEEE International Conference on Image Processing (ICIP)eduUniversity of Illinois, Urbana-Champaign40.11116745-88.2258766546%123566769521
b91f54e1581fbbf60392364323d00a0cd43e493cbp4d_spontanousBP4D-SpontanousA high-resolution spontaneous 3D dynamic facial expression database[pdf]2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)eduSUNY Binghamton42.08779975-75.9706606636%151549778526
4f93cd09785c6e77bf4bc5a788e079df524c8d21sotonSOTON HiDOn a large sequence-based human gait database[pdf]36%148549416980
0df0d1adea39a5bef318b74faa37de7f3e00b452mpii_gazeMPIIGazeAppearance-based gaze estimation in the wild[pdf]2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)eduMax Planck Institute for Informatics49.257956607.0457741738%13852863947
e4754afaa15b1b53e70743880484b8d0736990fffiw_300300-W300 Faces In-The-Wild Challenge: database and results[pdf]Image Vision Comput.45%1145163107031
e4754afaa15b1b53e70743880484b8d0736990fffiw_300300-W300 Faces In-The-Wild Challenge: database and results[pdf]Image Vision Comput.45%1145163107031
e4754afaa15b1b53e70743880484b8d0736990fffiw_300300-W300 Faces In-The-Wild Challenge: database and results[pdf]Image Vision Comput.45%1145163107031
c0387e788a52f10bf35d4d50659cfa515d89fbecmarsMARSMARS: A Video Benchmark for Large-Scale Person Re-Identification[pdf]34%14649976960
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2a171f8d14b6b8735001a11c217af9587d095848expwExpWLearning Social Relation Traits from Face Images[pdf]2015 IEEE International Conference on Computer Vision (ICCV)eduChinese University of Hong Kong22.42031295114.2078864430%206145150
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7ebb153704706e457ab57b432793d2b6e5d12592vgg_celebs_in_placesCIPFaces in Places: compound query retrieval[pdf]UnknowneduUniversity of Oxford51.75345380-1.2540099780%541040
8d5998cd984e7cce307da7d46f155f9db99c6590chalearnChaLearnChaLearn looking at people: A review of events and resources[pdf]2017 International Joint Conference on Neural Networks (IJCNN)30%1037160
a5acda0e8c0937bfed013e6382da127103e41395disfaDISFAExtended DISFA Dataset: Investigating Posed and Spontaneous Facial Expressions[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)38%835150
137aa2f891d474fce1e7a1d1e9b3aefe21e22b34hrt_transgenderHRT TransgenderIs the eye region more reliable than the face? A preliminary study of face-based recognition on a transgender dataset[pdf]2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)eduUniversity of North Carolina Wilmington34.23755810-77.9270129043%734123
137aa2f891d474fce1e7a1d1e9b3aefe21e22b34hrt_transgenderHRT TransgenderIs the eye region more reliable than the face? A preliminary study of face-based recognition on a transgender dataset[pdf]2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)eduUniversity of North Carolina Wilmington34.23755810-77.9270129043%734123
137aa2f891d474fce1e7a1d1e9b3aefe21e22b34hrt_transgenderHRT TransgenderIs the eye region more reliable than the face? A preliminary study of face-based recognition on a transgender dataset[pdf]2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)eduUniversity of North Carolina Wilmington34.23755810-77.9270129043%734123
57178b36c21fd7f4529ac6748614bb3374714e91ijb_cIJB-CIARPA Janus Benchmark - C: Face Dataset and Protocol[pdf]2018 International Conference on Biometrics (ICB)33%936290
07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1uccsUCCSLarge scale unconstrained open set face database[pdf]2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)eduUniversity of Colorado at Colorado Springs38.89646790-104.8050594060%532030
8627f019882b024aef92e4eb9355c499c733e5b7usedUSED Social Event DatasetUSED: a large-scale social event detection dataset[pdf]43%734032
4563b46d42079242f06567b3f2e2f7a80cb3befevadanaVADANAVADANA: A dense dataset for facial image analysis[pdf]2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)19%16313066
56ae6d94fc6097ec4ca861f0daa87941d1c10b70cmdpCMDPDistance Estimation of an Unknown Person from a Portrait[pdf]eduCalifornia Institute of Technology34.13710185-118.1252748722%927061
dd65f71dac86e36eecbd3ed225d016c3336b4a13families_in_the_wildFIWVisual Kinship Recognition of Families in the Wild[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence67%321020
6dbe8e5121c534339d6e41f8683e85f87e6abf81gallagherGallagherClothing Cosegmentation for Shopping Images With Cluttered Background[pdf]IEEE Transactions on Multimedia33%624032
8f02ec0be21461fbcedf51d864f944cfc42c875fhda_plusHDA+The HDA+ Data Set for Research on Fully Automated Re-identification Systems[pdf]12%172152110
8f02ec0be21461fbcedf51d864f944cfc42c875fhda_plusHDA+The HDA+ Data Set for Research on Fully Automated Re-identification Systems[pdf]12%172152110
99eb4cea0d9bc9fe777a5c5172f8638a37a7f262ilids_vid_reidiLIDS-VIDPerson Re-identification by Exploiting Spatio-Temporal Cues and Multi-view Metric Learning[pdf]IEEE Signal Processing Letters29%725040
0d2dd4fc016cb6a517d8fb43a7cc3ff62964832elagLAGLarge Age-Gap face verification by feature injection in deep networks[pdf]Pattern Recognition Letters29%725032
a7fe834a0af614ce6b50dc093132b031dd9a856bmarket1203Market 1203Orientation Driven Bag of Appearances for Person Re-identification[pdf]CoRR29%725030
ad01687649d95cd5b56d7399a9603c4b8e2217d7mrp_droneMRP DroneInvestigating Open-World Person Re-identi cation Using a Drone[pdf]40%523030
a7fe834a0af614ce6b50dc093132b031dd9a856bpku_reidPKU-ReidOrientation Driven Bag of Appearances for Person Re-identification[pdf]CoRR29%725030
041d3eedf5e45ce5c5229f0181c5c576ed1fafd6ucf_selfieUCF SelfieHow to Take a Good Selfie?[pdf]22%927050
4b4106614c1d553365bad75d7866bff0de6056edczech_news_agencyUFIUnconstrained Facial Images: Database for Face Recognition Under Real-World Conditions[pdf]10%1019042
563c940054e4b456661762c1ab858e6f730c3159data_61Data61 PedestrianA Multi-modal Graphical Model for Scene Analysis[pdf]2015 IEEE Winter Conference on Applications of Computer Vision12%817050
c6526dd3060d63a6c90e8b7ff340383c4e0e0dd8face_research_labFace Research Lab LondonAnxiety promotes memory for mood-congruent faces but does not alter loss aversion.[pdf]Scientific reportseduUniversity College London51.52316070-0.1282037025%413022
17b46e2dad927836c689d6787ddb3387c6159ecegeofacesGeoFacesGeoFaceExplorer: exploring the geo-dependence of facial attributes[pdf]eduUniversity of Kentucky38.03337420-84.5017758050%211010
55c40cbcf49a0225e72d911d762c27bb1c2d14aaifadIFADIndian Face Age Database : A Database for Face Recognition with Age Variation[pdf]Unknown50%211020
e3e44385a71a52fd483c58eb3cdf8d03960c0b70mcgillMcGill Real WorldA Hierarchical Graphical Model for Recognizing Human Actions and Interactions in Video[pdf]50%211010
e3e44385a71a52fd483c58eb3cdf8d03960c0b70mcgillMcGill Real WorldA Hierarchical Graphical Model for Recognizing Human Actions and Interactions in Video[pdf]50%211010
d80a3d1f3a438e02a6685e66ee908446766fefa9megaageMegaAgeQuantifying Facial Age by Posterior of Age Comparisons[pdf]CoRReduChinese University of Hong Kong22.42031295114.2078864425%413140
23e824d1dfc33f3780dd18076284f07bd99f1c43mifsMIFSSpoofing faces using makeup: An investigative study[pdf]2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA)eduINRIA Méditerranée43.615813107.0683800020%514012
fb82681ac5d3487bd8e52dbb3d1fa220eeac855epilot_parliamentPPB1 Network Notebook[pdf]9%111101100
9e5378e7b336c89735d3bb15cf67eff96f86d39aprecariousPrecariousExpecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters[pdf]2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)8%121111100
54983972aafc8e149259d913524581357b0f91c3reseedReSEEDReSEED: social event dEtection dataset[pdf]17%615111
c9bda86e23cab9e4f15ea0c4cbb6cc02b9dfb709stanford_droneStanford DroneLearning to predict human behaviour in crowded scenes[pdf]20%514150
9696ad8b164f5e10fcfe23aacf74bd6168aebb154dfab4DFAB4DFAB: A Large Scale 4D Facial Expression Database for Biometric Applications[pdf]CoRR0%404020
f152b6ee251cca940dd853c54e6a7b78fbc6b235affectnetAffectNetSkybiometry and AffectNet on Facial Emotion Recognition Using Supervised Machine Learning Algorithms[pdf]Unknown100%000000
1ed1a49534ad8dd00f81939449f6389cfbc25321bjut_3dBJUT-3DA novel face recognition method based on 3D face model[pdf]2007 IEEE International Conference on Robotics and Biomimetics (ROBIO)0%202011
65355cbb581a219bd7461d48b3afd115263ea760complex_activitiesOngoing Complex ActivitiesRecognition of ongoing complex activities by sequence prediction over a hierarchical label space[pdf]2016 IEEE Winter Conference on Applications of Computer Vision (WACV)0%202020
f0e17f27f029db4ad650ff278fe3c10ecb6cb0c4europersonsEuroCity PersonsThe EuroCity Persons Dataset: A Novel Benchmark for Object Detection[pdf]CoRR0%101010
75da1df4ed319926c544eefe17ec8d720feef8c0fddbFDDBFDDB: A Benchmark for Face Detection in Unconstrained Settings[pdf]eduUniversity of Massachusetts42.38897850-72.528698700%101000
b6b1b0632eb9d4ab1427278f5e5c46f97753c73dfeiFEIGeneralização cartográfica automatizada para um banco de dados cadastral[pdf]Unknown100%000000
3dc3f0b64ef80f573e3a5f96e456e52ee980b877georgia_tech_face_databaseGeorgia Tech FaceMaximum Likelihood Training of the Embedded HMM for Face Detection and Recognition[pdf]0%303020
24830e3979d4ed01b9fd0feebf4a8fd22e0c35fdhi4d_adsipHi4D-ADSIPHigh-resolution comprehensive 3-D dynamic database for facial articulation analysis[pdf]2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)0%505010
ad62c6e17bc39b4dec20d32f6ac667ae42d2c118jiku_mobileJiku Mobile Video DatasetA Synchronization Ground Truth for the Jiku Mobile Video Dataset[pdf]0%101000
079a0a3bf5200994e1f972b1b9197bf2f90e87d4mit_cbclMIT CBCLComponent-Based Face Recognition with 3D Morphable Models[pdf]2004 Conference on Computer Vision and Pattern Recognition Workshop0%12012080
c06b13d0ec3f5c43e2782cd22542588e233733c3nova_emotionsNovaemötions DatasetCrowdsourcing facial expressions for affective-interaction[pdf]Computer Vision and Image Understanding0%101010
c06b13d0ec3f5c43e2782cd22542588e233733c3nova_emotionsNovaemötions DatasetCrowdsourcing facial expressions for affective-interaction[pdf]Computer Vision and Image Understanding0%101010
22909dd19a0ec3b6065334cb5be5392cb24d839dpetsPETS 2017PETS 2017: Dataset and Challenge[pdf]2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)0%808020
f6c8d5e35d7e4d60a0104f233ac1a3ab757da53fpkuPKUSwiss-System Based Cascade Ranking for Gait-Based Person Re-Identification[pdf]0%303010
c866a2afc871910e3282fd9498dce4ab20f6a332qmul_surv_faceQMUL-SurvFaceSurveillance Face Recognition Challenge[pdf]CoRR100%000000
f3b84a03985de3890b400b68e2a92c0a00afd9d0scfaceSCfaceLarge Variability Surveillance Camera Face Database[pdf]2015 Seventh International Conference on Computational Intelligence, Modelling and Simulation (CIMSim)0%101000
d3f5a1848b0028d8ab51d0b0673732cad2e3c8c9stair_actionsSTAIR ActionSTAIR Actions: A Video Dataset of Everyday Home Actions[pdf]CoRR100%000000
377f2b65e6a9300448bdccf678cde59449ecd337ufddUFDDPushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results[pdf]CoRReduJohns Hopkins University39.32905300-76.619425000%202020
922e0a51a3b8c67c4c6ac09a577ff674cbd28b34v47V47Re-identification of pedestrians with variable occlusion and scale[pdf]2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)0%10010260
9b9bf5e623cb8af7407d2d2d857bc3f1b531c182who_goes_thereWGTWho goes there?: approaches to mapping facial appearance diversity[pdf]100%000000
77c81c13a110a341c140995bedb98101b9e84f7fwildtrackWildTrackWILDTRACK : A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection[pdf]Unknown100%000000
5ad4e9f947c1653c247d418f05dad758a3f9277bwlfdbWLFDB: Weakly Labeled Face Databases[pdf]Unknown0%101000
a94cae786d515d3450d48267e12ca954aab791c4yawddYawDDYawDD: a yawning detection dataset[pdf]0%14014121
\ No newline at end of file +Coverage

Coverage

Paper IDMegapixels KeyMegapixels NameReport LinkPDF LinkJournalTypeAddressLatLngCoverageTotal CitationsGeocoded CitationsUnknown CitationsEmpty CitationsWith PDFWith DOI
b5f2846a506fc417e7da43f6a7679146d99c5e96ucf_101UCF101UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild[pdf]CoRReduUniversity of Central Florida28.59899755-81.1971250154%99953546473708212
0e986f51fe45b00633de9fd0c94d082d2be51406afwAFWFace detection, pose estimation, and landmark localization in the wild[pdf]2012 IEEE Conference on Computer Vision and Pattern RecognitioneduUniversity of California, Irvine33.64319010-117.8401649452%99952147859607273
370b5757a5379b15e30d619e4d3fb9e8e13f32563dddb_unconstrained3D DynamicLabeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments[pdf]47%99947252671619260
370b5757a5379b15e30d619e4d3fb9e8e13f3256ar_facedbAR FaceLabeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments[pdf]47%99947252671619260
370b5757a5379b15e30d619e4d3fb9e8e13f3256lfwLFWLabeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments[pdf]47%99947252671619260
370b5757a5379b15e30d619e4d3fb9e8e13f3256m2vtsdb_extendedxm2vtsdbLabeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments[pdf]47%99947252671619260
370b5757a5379b15e30d619e4d3fb9e8e13f3256put_facePut FaceLabeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments[pdf]47%99947252671619260
759a3b3821d9f0e08e0b0a62c8b693230afc3f8dpubfigPubFigAttribute and simile classifiers for face verification[pdf]2009 IEEE 12th International Conference on Computer VisioneduColumbia University40.84198360-73.9436897151%89445444055587222
18c72175ddbb7d5956d180b65a96005c100f6014yale_facesYaleFacesFrom Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose[pdf]IEEE Trans. Pattern Anal. Mach. Intell.42%99942257780538295
4d9a02d080636e9666c4d1cc438b9893391ec6c7cohn_kanade_plusCK+The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression[pdf]2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops41%97540357265460345
2e384f057211426ac5922f1b33d2aa8df5d51f57a_pascal_yahooaPascalDescribing objects by their attributes[pdf]2009 IEEE Conference on Computer Vision and Pattern Recognition39%9993936067172773
162ea969d1929ed180cc6de9f0bf116993ff6e06vgg_facesVGG FaceDeep Face Recognition[pdf]Unknown39%99939360671621156
23fc83c8cfff14a16df7ca497661264fc54ed746cohn_kanadeCKComprehensive Database for Facial Expression Analysis[pdf]eduCarnegie Mellon University37.41021930-122.0596548738%99938061975555252
01959ef569f74c286956024866c1d107099199f7vqaVQAVQA: Visual Question Answering[pdf]2015 IEEE International Conference on Computer Vision (ICCV)47%731344387476284
6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4celebaCelebADeep Learning Face Attributes in the Wild[pdf]2015 IEEE International Conference on Computer Vision (ICCV)eduChinese University of Hong Kong22.42031295114.2078864442%8083404686966650
4d423acc78273b75134e2afd1777ba6d3a398973cmu_pieCMU PIEInternational Conference on Automatic Face and Gesture Recognition The CMU Pose , Illumination , and Expression ( PIE ) Database[pdf]44%74233041261410232
abe9f3b91fd26fa1b50cd685c0d20debfb372f73vocVOCThe Pascal Visual Object Classes Challenge: A Retrospective[pdf]International Journal of Computer Vision32%999315684756986
45c31cde87258414f33412b3b12fc5bec7cb3ba9jaffeJAFFECoding Facial Expressions with Gabor Wavelets[pdf]eduKyushu University33.59914655130.2235984836%84830854056413255
31b58ced31f22eab10bd3ee2d9174e7c14c27c01tiny_imagesTiny ImagesNonparametric Object and Scene Recognition[pdf]31%999305694936709
140438a77a771a8fb656b39a78ff488066eb6b50lfw_pLFWPLocalizing Parts of Faces Using a Consensus of Exemplars[pdf]IEEE Transactions on Pattern Analysis and Machine IntelligenceeduColumbia University40.84198360-73.9436897153%52127424740321144
18ae7c9a4bbc832b8b14bc4122070d7939f5e00efrgcFRGCOverview of the face recognition grand challenge[pdf]2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)25%99925374611057264
32cde90437ab5a70cf003ea36f66f2de0e24b3abcityscapesCityscapesThe Cityscapes Dataset for Semantic Urban Scene Understanding[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)33%771252519546220
32cde90437ab5a70cf003ea36f66f2de0e24b3abcityscapesCityscapesThe Cityscapes Dataset for Semantic Urban Scene Understanding[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)33%771252519546220
2ad0ee93d029e790ebb50574f403a09854b65b7eyale_facesYaleFacesAcquiring linear subspaces for face recognition under variable lighting[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence25%999251748110509113
560e0e58d0059259ddf86fcec1fa7975dee6a868youtube_facesYouTubeFacesFace recognition in unconstrained videos with matched background similarity[pdf]CVPR 2011eduOpen University of Israel32.7782416534.9956567350%48524424032290140
3607afdb204de9a5a9300ae98aa4635d9effcda2sheffieldSheffield FaceFace Description with Local Binary Patterns: Application to Face Recognition[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence24%9992387616548387
853bd61bc48a431b9b1c7cab10c603830c488e39casia_webfaceCASIA WebfaceLearning Face Representation from Scratch[pdf]CoRR53%43623320332284115
2830fb5282de23d7784b4b4bc37065d27839a412h3dH3DPoselets: Body part detectors trained using 3D human pose annotations[pdf]2009 IEEE 12th International Conference on Computer Vision32%7072234846248218
10d6b12fa07c7c8d6c8c3f42c7f1c061c131d4c5inria_personINRIA PedestrianHistograms of oriented gradients for human detection[pdf]2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)22%9992177826752022
55206f0b5f57ce17358999145506cd01e570358corlORLO M 4 . 1 The Subject Database 4 . 2 Experiment Plan 5 . 1 Varying the Overlap 4 Experimental Setup 5 Parameterisation Results[pdf]21%9992147859655057
9055b155cbabdce3b98e16e5ac9c0edf00f9552fmorphMORPH CommercialMORPH: a longitudinal image database of normal adult age-progression[pdf]7th International Conference on Automatic Face and Gesture Recognition (FGR06)46%42419522927231155
9055b155cbabdce3b98e16e5ac9c0edf00f9552fmorph_ncMORPH Non-CommercialMORPH: a longitudinal image database of normal adult age-progression[pdf]7th International Conference on Automatic Face and Gesture Recognition (FGR06)46%42419522927231155
93884e46c49f7ae1c7c34046fbc28882f2bd6341kdefKDEFGaze fixation and the neural circuitry of face processing in autism[pdf]Nature Neuroscience31%608190418924630
8a3c5507237957d013a0fe0f082cab7f757af6eemaflMAFLFacial Landmark Detection by Deep Multi-task Learning[pdf]eduChinese University of Hong Kong22.42031295114.2078864448%3831822012525960
8a3c5507237957d013a0fe0f082cab7f757af6eemtflMTFLFacial Landmark Detection by Deep Multi-task Learning[pdf]eduChinese University of Hong Kong22.42031295114.2078864448%3831822012525960
6bd36e9fd0ef20a3074e1430a6cc601e6d407fc3cuhk03CUHK03DeepReID: Deep Filter Pairing Neural Network for Person Re-identification[pdf]2014 IEEE Conference on Computer Vision and Pattern Recognition35%512180332293234
3325860c0c82a93b2eac654f5324dd6a776f609empii_human_poseMPII Human Pose2D Human Pose Estimation: New Benchmark and State of the Art Analysis[pdf]2014 IEEE Conference on Computer Vision and Pattern Recognition50%356179177212993
95f12d27c3b4914e0668a268360948bce92f7db3helenHelenInteractive Facial Feature Localization[pdf]eduUniversity of Illinois, Urbana-Champaign40.11116745-88.2258766552%33917716227208100
2724ba85ec4a66de18da33925e537f3902f21249cofwCOFWRobust Face Landmark Estimation under Occlusion[pdf]2013 IEEE International Conference on Computer Vision55%3051671381618695
044d9a8c61383312cdafbcc44b9d00d650b21c70fiw_300300-W300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge[pdf]2013 IEEE International Conference on Computer Vision WorkshopseduUniversity of Twente52.238013906.8566761056%2851591252818882
6273b3491e94ea4dd1ce42b791d77bdc96ee73a8viperVIPeREvaluating Appearance Models for Recognition, Reacquisition, and Tracking[pdf]27%584159425383369
a74251efa970b92925b89eeef50a5e37d9281ad0aflwAFLWAnnotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization[pdf]2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)53%2921551373820759
a74251efa970b92925b89eeef50a5e37d9281ad0imm_faceIMM Face DatasetAnnotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization[pdf]2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)53%2921551373820759
a74251efa970b92925b89eeef50a5e37d9281ad0muctMUCTAnnotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization[pdf]2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)53%2921551373820759
4308bd8c28e37e2ed9a3fcfe74d5436cce34b410market_1501Market 1501Scalable Person Re-identification: A Benchmark[pdf]2015 IEEE International Conference on Computer Vision (ICCV)38%394149245182713
2a75f34663a60ab1b04a0049ed1d14335129e908mmi_facial_expressionMMI Facial Expression DatasetWeb-based database for facial expression analysis[pdf]2005 IEEE International Conference on Multimedia and Expo32%4401422984425882
639937b3a1b8bded3f7e9a40e85bd3770016cf3cbfmBFMA 3D Face Model for Pose and Illumination Invariant Face Recognition[pdf]2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance41%3231311922922125
cc589c499dcf323fe4a143bbef0074c3e31f9b60bu_3dfeBU-3DFEA 3D facial expression database for facial behavior research[pdf]7th International Conference on Automatic Face and Gesture Recognition (FGR06)eduSUNY Binghamton42.08779975-75.9706606624%5551314244728348
696ca58d93f6404fea0fc75c62d1d7b378f47628cocoCOCOMicrosoft COCO Captions: Data Collection and Evaluation Server[pdf]CoRR46%283129154162314
4053e3423fb70ad9140ca89351df49675197196abio_idBioID FaceRobust Face Detection Using the Hausdorff Distance[pdf]26%4981273715531932
3765df816dc5a061bc261e190acc8bdd9d47bec0rafdRaFDPresentation and validation of the Radboud Faces Database[pdf]Unknown28%4461273194330719
2fda164863a06a92d3a910b96eef927269aeb730names_and_faces_newsNews DatasetNames and faces in the news[pdf]Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.41%2941201742420745
4b1d23d17476fcf78f4cbadf69fb130b1aa627c0leeds_sports_poseLeeds Sports PoseClustered Pose and Nonlinear Appearance Models for Human Pose Estimation[pdf]43%278119159121982
2258e01865367018ed6f4262c880df85b94959f8motMOTEvaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics[pdf]EURASIP J. Image and Video Processing20%586119467483363
4b1d23d17476fcf78f4cbadf69fb130b1aa627c0stickmen_buffyBuffy StickmenClustered Pose and Nonlinear Appearance Models for Human Pose Estimation[pdf]43%278119159121982
4b1d23d17476fcf78f4cbadf69fb130b1aa627c0stickmen_pascalStickmen PASCALClustered Pose and Nonlinear Appearance Models for Human Pose Estimation[pdf]43%278119159121982
6dd0597f8513dc100cd0bc1b493768cde45098a9stickmen_buffyBuffy StickmenLearning to parse images of articulated bodies[pdf]31%373117256302382
6dd0597f8513dc100cd0bc1b493768cde45098a9stickmen_pascalStickmen PASCALLearning to parse images of articulated bodies[pdf]31%373117256302382
3316521a5527c7700af8ae6aef32a79a8b83672ctud_campusTUD-CampusPeople-tracking-by-detection and people-detection-by-tracking[pdf]2008 IEEE Conference on Computer Vision and Pattern Recognition22%529116413413161
3316521a5527c7700af8ae6aef32a79a8b83672ctud_crossingTUD-CrossingPeople-tracking-by-detection and people-detection-by-tracking[pdf]2008 IEEE Conference on Computer Vision and Pattern Recognition22%529116413413161
3316521a5527c7700af8ae6aef32a79a8b83672ctud_pedestrianTUD-PedestrianPeople-tracking-by-detection and people-detection-by-tracking[pdf]2008 IEEE Conference on Computer Vision and Pattern Recognition22%529116413413161
0f0fcf041559703998abf310e56f8a2f90ee6f21feretFERETThe FERET Evaluation Methodology for Face-Recognition Algorithms[pdf]IEEE Trans. Pattern Anal. Mach. Intell.11%9991092593221351
140c95e53c619eac594d70f6369f518adfea12efijb_aIJB-APushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A[pdf]2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)48%2221071152115848
4c170a0dcc8de75587dae21ca508dab2f9343974face_tracerFaceTracerFaceTracer: A Search Engine for Large Collections of Images with Faces[pdf]eduColumbia University40.84198360-73.9436897148%2181051131714652
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53ae38a6bb2b21b42bac4f0c4c8ed1f9fa02f9d4bp4d_plusBP4D+Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)25%4010300206
298cbc3dfbbb3a20af4eed97906650a4ea1c29e0ferplusFER+Training deep networks for facial expression recognition with crowd-sourced label distribution[pdf]34%2910190153
488e475eeb3bb39a145f23ede197cd3620f1d98asvsSVSPedestrian Attribute Classification in Surveillance: Database and Evaluation[pdf]2013 IEEE International Conference on Computer Vision Workshops38%2610161132
5753b2b5e442eaa3be066daa4a2ca8d8a0bb172550_people_one_question50 People One QuestionMerging Pose Estimates Across Space and Time[pdf]60%15960112
6dcf418c778f528b5792104760f1fbfe90c6dd6aagedbAgeDBAgeDB: The First Manually Collected, In-the-Wild Age Database[pdf]2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)82%11920100
0ceda9dae8b9f322df65ca2ef02caca9758aec6fcasablancaCasablancaContext-Aware CNNs for Person Head Detection[pdf]2015 IEEE International Conference on Computer Vision (ICCV)33%279181220
4fefd1bc8dc4e0ab37ee3324ddfa43ad9d6a04a7deep_fashionDeepFashionFashion Landmark Detection in the Wild[pdf]eduChinese University of Hong Kong22.42031295114.2078864439%23980150
0ceda9dae8b9f322df65ca2ef02caca9758aec6fhollywood_headsetHollywoodHeadsContext-Aware CNNs for Person Head Detection[pdf]2015 IEEE International Conference on Computer Vision (ICCV)33%279181220
faf40ce28857aedf183e193486f5b4b0a8c478a2iit_dehli_earIIT Dehli EarAutomated Human Identification Using Ear Imaging[pdf]Unknown13%709616281
ca3e88d87e1344d076c964ea89d91a75c417f5eeimfdbIMFDBIndian Movie Face Database: A benchmark for face recognition under wide variations[pdf]2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)60%15960104
4793f11fbca4a7dba898b9fff68f70d868e2497ckin_faceUB KinFaceKinship Verification through Transfer Learning[pdf]14%669392185
7ace44190729927e5cb0dd5d363fcae966fe13f7nudedetectionNude DetectionA bag-of-features approach based on Hue-SIFT descriptor for nude detection[pdf]2009 17th European Signal Processing Conference18%519421180
4e6ee936eb50dd032f7138702fa39b7c18ee8907dartmouth_childrenDartmouth ChildrenThe Dartmouth Database of Children’s Faces: Acquisition and Validation of a New Face Stimulus Set[pdf]40%208122160
fd8168f1c50de85bac58a8d328df0a50248b16aend_2006ND-2006Using a Multi-Instance Enrollment Representation to Improve 3D Face Recognition[pdf]2007 First IEEE International Conference on Biometrics: Theory, Applications, and Systems25%328243161
774cbb45968607a027ae4729077734db000a1ec5urban_tribesUrban TribesFrom Bikers to Surfers: Visual Recognition of Urban Tribes[pdf]eduColumbia University40.84198360-73.9436897147%17891121
2624d84503bc2f8e190e061c5480b6aa4d89277aafew_vaAFEW-VAAFEW-VA database for valence and arousal estimation in-the-wild[pdf]Image Vision Comput.47%15781103
84fe5b4ac805af63206012d29523a1e033bc827eawe_earsAWE EarsEar recognition: More than a survey[pdf]Neurocomputing29%247170110
5801690199c1917fa58c35c3dead177c0b8f9f2dcamelCAMELApplication of Object Based Classification and High Resolution Satellite Imagery for Savanna Ecosystem Analysis[pdf]Remote Sensing37%197121160
0297448f3ed948e136bb06ceff10eccb34e5bb77ilids_mctsImagery Library for Intelligent Detection Systems (i-LIDS); A Standard for Testing Video Based Detection Systems[pdf]Proceedings 40th Annual 2006 International Carnahan Conference on Security Technology22%327252170
ec792ad2433b6579f2566c932ee414111e194537msmt_17MSMT17Person Transfer GAN to Bridge Domain Gap for Person Re-Identification[pdf]CoRR50%14771110
b92a1ed9622b8268ae3ac9090e25789fc41cc9b8pornodbPornography DBPooling in image representation: The visual codeword point of view[pdf]Computer Vision and Image Understanding9%777707432
19d1b811df60f86cbd5e04a094b07f32fff7a32ayork_3dUOY 3D Face DatabaseThree-dimensional face recognition: an eigensurface approach[pdf]2004 International Conference on Image Processing, 2004. ICIP '04.19%367294251
2a171f8d14b6b8735001a11c217af9587d095848expwExpWLearning Social Relation Traits from Face Images[pdf]2015 IEEE International Conference on Computer Vision (ICCV)eduChinese University of Hong Kong22.42031295114.2078864430%206145150
25474c21613607f6bb7687a281d5f9d4ffa1f9f3faceplaceFace PlaceRecognizing disguised faces[pdf]25%246180161
0cb2dd5f178e3a297a0c33068961018659d0f443ijb_bIJB-BIARPA Janus Benchmark-B Face Dataset[pdf]2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)24%256196213
bd26dabab576adb6af30484183c9c9c8379bf2e0scut_fbpSCUT-FBPSCUT-FBP: A Benchmark Dataset for Facial Beauty Perception[pdf]2015 IEEE International Conference on Systems, Man, and CyberneticseduSouth China University of Technology23.05020420113.3988032343%1468357
2a171f8d14b6b8735001a11c217af9587d095848social_relationSocial RelationLearning Social Relation Traits from Face Images[pdf]2015 IEEE International Conference on Computer Vision (ICCV)eduChinese University of Hong Kong22.42031295114.2078864430%206145150
4156b7e88f2e0ab0a7c095b9bab199ae2b23bd06distance_nighttimeLong Distance Heterogeneous FaceNighttime Face Recognition at Long Distance: Cross-Distance and Cross-Spectral Matching[pdf]24%215163111
2f43b614607163abf41dfe5d17ef6749a1b61304hrt_transgenderHRT TransgenderInvestigating the Periocular-Based Face Recognition Across Gender Transformation[pdf]IEEE Transactions on Information Forensics and SecurityeduUniversity of North Carolina at Wilmington34.22498270-77.8690774438%1353033
c570d1247e337f91e555c3be0e8c8a5aba539d9fmcgillMcGill Real WorldRobust semi-automatic head pose labeling for real-world face video sequences[pdf]Multimedia Tools and ApplicationseduMcGill University45.50397610-73.5749687028%1856074
6f3c76b7c0bd8e1d122c6ea808a271fd4749c951wardWARDRe-identify people in wide area camera network[pdf]2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops9%555502350
6403117f9c005ae81f1e8e6d1302f4a045e3d99dalert_airportALERT AirportA Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets.[pdf]IEEE transactions on pattern analysis and machine intelligence27%154111100
014b8df0180f33b9fea98f34ae611c6447d761d2buhmap_dbBUHMAP-DB Facial feature tracking and expression recognition for sign language[pdf]2008 23rd International Symposium on Computer and Information Sciences16%254211102
57fe081950f21ca03b5b375ae3e84b399c015861cvc_01_barcelonaCVC-01Adaptive Image Sampling and Windows Classification for On–board Pedestrian Detection[pdf]9%444401210
22f656d0f8426c84a33a267977f511f127bfd7f3expwExpWFrom Facial Expression Recognition to Interpersonal Relation Prediction[pdf]International Journal of Computer Vision44%945051
b71d1aa90dcbe3638888725314c0d56640c1fef1ifdbIFDBIranian Face Database with age, pose and expression[pdf]2007 International Conference on Machine Vision20%204162113
2eb84aaba316b095d4bb51da1a3e4365bbf9ab1dkin_faceUB KinFaceGenealogical face recognition based on UB KinFace database[pdf]CVPR 2011 WORKSHOPSeduSUNY Buffalo42.93362780-78.8839447913%30426195
e27ef52c641c2b5100a1b34fd0b819e84a31b4dfsarc3dSarc3DSARC3D: A New 3D Body Model for People Tracking and Re-identification[pdf]Unknown14%294253170
22f656d0f8426c84a33a267977f511f127bfd7f3social_relationSocial RelationFrom Facial Expression Recognition to Interpersonal Relation Prediction[pdf]International Journal of Computer Vision44%945051
1a40092b493c6b8840257ab7f96051d1a4dbfeb2sports_videos_in_the_wildSVWSports Videos in the Wild (SVW): A video dataset for sports analysis[pdf]2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)eduMichigan State University42.71856800-84.4779157167%642150
7ebb153704706e457ab57b432793d2b6e5d12592vgg_celebs_in_placesCIPFaces in Places: compound query retrieval[pdf]UnknowneduUniversity of Oxford51.75345380-1.2540099780%541040
8d5998cd984e7cce307da7d46f155f9db99c6590chalearnChaLearnChaLearn looking at people: A review of events and resources[pdf]2017 International Joint Conference on Neural Networks (IJCNN)30%1037160
a5acda0e8c0937bfed013e6382da127103e41395disfaDISFAExtended DISFA Dataset: Investigating Posed and Spontaneous Facial Expressions[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)38%835150
137aa2f891d474fce1e7a1d1e9b3aefe21e22b34hrt_transgenderHRT TransgenderIs the eye region more reliable than the face? A preliminary study of face-based recognition on a transgender dataset[pdf]2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)eduUniversity of North Carolina Wilmington34.23755810-77.9270129043%734123
57178b36c21fd7f4529ac6748614bb3374714e91ijb_cIJB-CIARPA Janus Benchmark - C: Face Dataset and Protocol[pdf]2018 International Conference on Biometrics (ICB)33%936290
07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1uccsUCCSLarge scale unconstrained open set face database[pdf]2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)eduUniversity of Colorado at Colorado Springs38.89646790-104.8050594060%532030
8627f019882b024aef92e4eb9355c499c733e5b7usedUSED Social Event DatasetUSED: a large-scale social event detection dataset[pdf]43%734032
4563b46d42079242f06567b3f2e2f7a80cb3befevadanaVADANAVADANA: A dense dataset for facial image analysis[pdf]2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)19%16313066
56ae6d94fc6097ec4ca861f0daa87941d1c10b70cmdpCMDPDistance Estimation of an Unknown Person from a Portrait[pdf]eduCalifornia Institute of Technology34.13710185-118.1252748722%927061
670637d0303a863c1548d5b19f705860a23e285cface_tracerFaceTracerFace swapping: automatically replacing faces in photographs[pdf]ACM Trans. Graph.eduColumbia University40.84198360-73.94368971100%220011
dd65f71dac86e36eecbd3ed225d016c3336b4a13families_in_the_wildFIWVisual Kinship Recognition of Families in the Wild[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence67%321020
6dbe8e5121c534339d6e41f8683e85f87e6abf81gallagherGallagherClothing Cosegmentation for Shopping Images With Cluttered Background[pdf]IEEE Transactions on Multimedia33%624032
8f02ec0be21461fbcedf51d864f944cfc42c875fhda_plusHDA+The HDA+ Data Set for Research on Fully Automated Re-identification Systems[pdf]12%172152110
99eb4cea0d9bc9fe777a5c5172f8638a37a7f262ilids_vid_reidiLIDS-VIDPerson Re-identification by Exploiting Spatio-Temporal Cues and Multi-view Metric Learning[pdf]IEEE Signal Processing Letters29%725040
0d2dd4fc016cb6a517d8fb43a7cc3ff62964832elagLAGLarge Age-Gap face verification by feature injection in deep networks[pdf]Pattern Recognition Letters29%725032
a7fe834a0af614ce6b50dc093132b031dd9a856bmarket1203Market 1203Orientation Driven Bag of Appearances for Person Re-identification[pdf]CoRR29%725030
ad01687649d95cd5b56d7399a9603c4b8e2217d7mrp_droneMRP DroneInvestigating Open-World Person Re-identi cation Using a Drone[pdf]40%523030
a7fe834a0af614ce6b50dc093132b031dd9a856bpku_reidPKU-ReidOrientation Driven Bag of Appearances for Person Re-identification[pdf]CoRR29%725030
041d3eedf5e45ce5c5229f0181c5c576ed1fafd6ucf_selfieUCF SelfieHow to Take a Good Selfie?[pdf]22%927050
4b4106614c1d553365bad75d7866bff0de6056edczech_news_agencyUFIUnconstrained Facial Images: Database for Face Recognition Under Real-World Conditions[pdf]10%1019042
563c940054e4b456661762c1ab858e6f730c3159data_61Data61 PedestrianA Multi-modal Graphical Model for Scene Analysis[pdf]2015 IEEE Winter Conference on Applications of Computer Vision12%817050
c6526dd3060d63a6c90e8b7ff340383c4e0e0dd8face_research_labFace Research Lab LondonAnxiety promotes memory for mood-congruent faces but does not alter loss aversion.[pdf]Scientific reportseduUniversity College London51.52316070-0.1282037025%413022
17b46e2dad927836c689d6787ddb3387c6159ecegeofacesGeoFacesGeoFaceExplorer: exploring the geo-dependence of facial attributes[pdf]eduUniversity of Kentucky38.03337420-84.5017758050%211010
55c40cbcf49a0225e72d911d762c27bb1c2d14aaifadIFADIndian Face Age Database : A Database for Face Recognition with Age Variation[pdf]Unknown50%211020
e3e44385a71a52fd483c58eb3cdf8d03960c0b70mcgillMcGill Real WorldA Hierarchical Graphical Model for Recognizing Human Actions and Interactions in Video[pdf]50%211010
d80a3d1f3a438e02a6685e66ee908446766fefa9megaageMegaAgeQuantifying Facial Age by Posterior of Age Comparisons[pdf]CoRReduChinese University of Hong Kong22.42031295114.2078864425%413140
23e824d1dfc33f3780dd18076284f07bd99f1c43mifsMIFSSpoofing faces using makeup: An investigative study[pdf]2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA)eduINRIA Méditerranée43.615813107.0683800020%514012
fb82681ac5d3487bd8e52dbb3d1fa220eeac855epilot_parliamentPPB1 Network Notebook[pdf]9%111101100
9e5378e7b336c89735d3bb15cf67eff96f86d39aprecariousPrecariousExpecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters[pdf]2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)8%121111100
54983972aafc8e149259d913524581357b0f91c3reseedReSEEDReSEED: social event dEtection dataset[pdf]17%615111
c9bda86e23cab9e4f15ea0c4cbb6cc02b9dfb709stanford_droneStanford DroneLearning to predict human behaviour in crowded scenes[pdf]20%514150
9696ad8b164f5e10fcfe23aacf74bd6168aebb154dfab4DFAB4DFAB: A Large Scale 4D Facial Expression Database for Biometric Applications[pdf]CoRR0%404020
f152b6ee251cca940dd853c54e6a7b78fbc6b235affectnetAffectNetSkybiometry and AffectNet on Facial Emotion Recognition Using Supervised Machine Learning Algorithms[pdf]Unknown100%000000
1ed1a49534ad8dd00f81939449f6389cfbc25321bjut_3dBJUT-3DA novel face recognition method based on 3D face model[pdf]2007 IEEE International Conference on Robotics and Biomimetics (ROBIO)0%202011
65355cbb581a219bd7461d48b3afd115263ea760complex_activitiesOngoing Complex ActivitiesRecognition of ongoing complex activities by sequence prediction over a hierarchical label space[pdf]2016 IEEE Winter Conference on Applications of Computer Vision (WACV)0%202020
f0e17f27f029db4ad650ff278fe3c10ecb6cb0c4europersonsEuroCity PersonsThe EuroCity Persons Dataset: A Novel Benchmark for Object Detection[pdf]CoRR0%101010
75da1df4ed319926c544eefe17ec8d720feef8c0fddbFDDBFDDB: A Benchmark for Face Detection in Unconstrained Settings[pdf]eduUniversity of Massachusetts42.38897850-72.528698700%101000
b6b1b0632eb9d4ab1427278f5e5c46f97753c73dfeiFEIGeneralização cartográfica automatizada para um banco de dados cadastral[pdf]Unknown100%000000
3dc3f0b64ef80f573e3a5f96e456e52ee980b877georgia_tech_face_databaseGeorgia Tech FaceMaximum Likelihood Training of the Embedded HMM for Face Detection and Recognition[pdf]0%303020
bd88bb2e4f351352d88ee7375af834360e223498hda_plusHDA+A Multi - camera video data set for research on High - Definition surveillance[pdf]0%100000
24830e3979d4ed01b9fd0feebf4a8fd22e0c35fdhi4d_adsipHi4D-ADSIPHigh-resolution comprehensive 3-D dynamic database for facial articulation analysis[pdf]2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)0%505010
066d71fcd997033dce4ca58df924397dfe0b5fd1ifdbIFDBIranian Face Database and Evaluation with a New Detection Algorithm[pdf]100%000000
ad62c6e17bc39b4dec20d32f6ac667ae42d2c118jiku_mobileJiku Mobile Video DatasetA Synchronization Ground Truth for the Jiku Mobile Video Dataset[pdf]0%101000
079a0a3bf5200994e1f972b1b9197bf2f90e87d4mit_cbclMIT CBCLComponent-Based Face Recognition with 3D Morphable Models[pdf]2004 Conference on Computer Vision and Pattern Recognition Workshop0%12012080
c06b13d0ec3f5c43e2782cd22542588e233733c3nova_emotionsNovaemötions DatasetCrowdsourcing facial expressions for affective-interaction[pdf]Computer Vision and Image Understanding0%101010
7f4040b482d16354d5938c1d1b926b544652bf5bnova_emotionsNovaemötions DatasetCompetitive affective gaming: winning with a smile[pdf]0%803020
22909dd19a0ec3b6065334cb5be5392cb24d839dpetsPETS 2017PETS 2017: Dataset and Challenge[pdf]2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)0%808020
f6c8d5e35d7e4d60a0104f233ac1a3ab757da53fpkuPKUSwiss-System Based Cascade Ranking for Gait-Based Person Re-Identification[pdf]0%303010
c866a2afc871910e3282fd9498dce4ab20f6a332qmul_surv_faceQMUL-SurvFaceSurveillance Face Recognition Challenge[pdf]CoRR100%000000
f3b84a03985de3890b400b68e2a92c0a00afd9d0scfaceSCfaceLarge Variability Surveillance Camera Face Database[pdf]2015 Seventh International Conference on Computational Intelligence, Modelling and Simulation (CIMSim)0%101000
d3f5a1848b0028d8ab51d0b0673732cad2e3c8c9stair_actionsSTAIR ActionSTAIR Actions: A Video Dataset of Everyday Home Actions[pdf]CoRR100%000000
377f2b65e6a9300448bdccf678cde59449ecd337ufddUFDDPushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results[pdf]CoRReduJohns Hopkins University39.32905300-76.619425000%202020
447d8893a4bdc29fa1214e53499ffe67b28a6db5umd_facesUMDElectronic Transport in Quantum Confined Systems[pdf]0%101010
922e0a51a3b8c67c4c6ac09a577ff674cbd28b34v47V47Re-identification of pedestrians with variable occlusion and scale[pdf]2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)0%10010260
9b9bf5e623cb8af7407d2d2d857bc3f1b531c182who_goes_thereWGTWho goes there?: approaches to mapping facial appearance diversity[pdf]100%000000
77c81c13a110a341c140995bedb98101b9e84f7fwildtrackWildTrackWILDTRACK : A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection[pdf]Unknown100%000000
5ad4e9f947c1653c247d418f05dad758a3f9277bwlfdbWLFDB: Weakly Labeled Face Databases[pdf]Unknown0%101000
a94cae786d515d3450d48267e12ca954aab791c4yawddYawDDYawDD: a yawning detection dataset[pdf]0%14014121
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All Papers

Paper IDMegapixels KeyMegapixels NameReport LinkPDF LinkJournalTypeAddressLatLngCoverageTotal CitationsGeocoded CitationsUnknown CitationsEmpty CitationsWith PDFWith DOI
fb82681ac5d3487bd8e52dbb3d1fa220eeac855epilot_parliamentPPB1 Network Notebook[pdf]9%111101100
3325860c0c82a93b2eac654f5324dd6a776f609empii_human_poseMPII Human Pose2D Human Pose Estimation: New Benchmark and State of the Art Analysis[pdf]2014 IEEE Conference on Computer Vision and Pattern Recognition50%356179177212993
2f5d44dc3e1b5955942133ff872ebd31716ec604frav3dFRAV3D2D and 3D face recognition: A survey[pdf]Pattern Recognition Letters15%389573322819817
e4754afaa15b1b53e70743880484b8d0736990fffiw_300300-W300 Faces In-The-Wild Challenge: database and results[pdf]Image Vision Comput.45%1145163107031
e4754afaa15b1b53e70743880484b8d0736990fffiw_300300-W300 Faces In-The-Wild Challenge: database and results[pdf]Image Vision Comput.45%1145163107031
e4754afaa15b1b53e70743880484b8d0736990fffiw_300300-W300 Faces In-The-Wild Challenge: database and results[pdf]Image Vision Comput.45%1145163107031
2e8d0f1802e50cccfd3c0aabac0d0beab3a7846e3dpes3DPeS3DPeS: 3D people dataset for surveillance and forensics[pdf]18%1222210011711
9696ad8b164f5e10fcfe23aacf74bd6168aebb154dfab4DFAB4DFAB: A Large Scale 4D Facial Expression Database for Biometric Applications[pdf]CoRR0%404020
d08cc366a4a0192a01e9a7495af1eb5d9f9e73aeb3d_acB3D(AC)A 3-D Audio-Visual Corpus of Affective Communication[pdf]IEEE Transactions on Multimedia31%3912272277
639937b3a1b8bded3f7e9a40e85bd3770016cf3cbfmBFMA 3D Face Model for Pose and Illumination Invariant Face Recognition[pdf]2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance41%3231311922922125
c34532fe6bfbd1e6df477c9ffdbb043b77e7804dcolumbia_gazeColumbia GazeA 3D Morphable Eye Region Model for Gaze Estimation[pdf]UnknowneduCarnegie Mellon University37.41021930-122.0596548767%241680184
cc589c499dcf323fe4a143bbef0074c3e31f9b60bu_3dfeBU-3DFEA 3D facial expression database for facial behavior research[pdf]7th International Conference on Automatic Face and Gesture Recognition (FGR06)eduSUNY Binghamton42.08779975-75.9706606624%5551314244728348
22646e00a7ba34d1b5fbe3b1efcd91a1e1be3c2bsaivtSAIVT SoftBioA Database for Person Re-Identification in Multi-Camera Surveillance Networks[pdf]2012 International Conference on Digital Image Computing Techniques and Applications (DICTA)21%5812467401
070de852bc6eb275d7ca3a9cdde8f6be8795d1a3d3dfacsD3DFACSA FACS valid 3D dynamic action unit database with applications to 3D dynamic morphable facial modeling[pdf]2011 International Conference on Computer VisioneduJacobs University53.41291480-2.9689791544%5223295374
e3e44385a71a52fd483c58eb3cdf8d03960c0b70mcgillMcGill Real WorldA Hierarchical Graphical Model for Recognizing Human Actions and Interactions in Video[pdf]50%211010
e3e44385a71a52fd483c58eb3cdf8d03960c0b70mcgillMcGill Real WorldA Hierarchical Graphical Model for Recognizing Human Actions and Interactions in Video[pdf]50%211010
563c940054e4b456661762c1ab858e6f730c3159data_61Data61 PedestrianA Multi-modal Graphical Model for Scene Analysis[pdf]2015 IEEE Winter Conference on Applications of Computer Vision12%817050
221c18238b829c12b911706947ab38fd017acef7rap_pedestrianRAPA Richly Annotated Dataset for Pedestrian Attribute Recognition[pdf]CoRR52%2111100180
3b4ec8af470948a72a6ed37a9fd226719a874ebcsdu_vidSDU-VIDA Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification[pdf]2015 IEEE International Conference on Computer Vision (ICCV)32%8527589510
3b4ec8af470948a72a6ed37a9fd226719a874ebcsdu_vidSDU-VIDA Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification[pdf]2015 IEEE International Conference on Computer Vision (ICCV)32%8527589510
3b4ec8af470948a72a6ed37a9fd226719a874ebcsdu_vidSDU-VIDA Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification[pdf]2015 IEEE International Conference on Computer Vision (ICCV)32%8527589510
ad62c6e17bc39b4dec20d32f6ac667ae42d2c118jiku_mobileJiku Mobile Video DatasetA Synchronization Ground Truth for the Jiku Mobile Video Dataset[pdf]0%101000
6403117f9c005ae81f1e8e6d1302f4a045e3d99dalert_airportALERT AirportA Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets.[pdf]IEEE transactions on pattern analysis and machine intelligence27%154111100
7ace44190729927e5cb0dd5d363fcae966fe13f7nudedetectionNude DetectionA bag-of-features approach based on Hue-SIFT descriptor for nude detection[pdf]2009 17th European Signal Processing Conference18%519421180
0d3bb75852098b25d90f31d2f48fd0cb4944702bface_scrubFaceScrubA data-driven approach to cleaning large face datasets[pdf]2014 IEEE International Conference on Image Processing (ICIP)eduUniversity of Illinois, Urbana-Champaign40.11116745-88.2258766546%123566769521
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8a3c5507237957d013a0fe0f082cab7f757af6eemtflMTFLFacial Landmark Detection by Deep Multi-task Learning[pdf]eduChinese University of Hong Kong22.42031295114.2078864448%3831822012525960
014b8df0180f33b9fea98f34ae611c6447d761d2buhmap_dbBUHMAP-DB Facial feature tracking and expression recognition for sign language[pdf]2008 23rd International Symposium on Computer and Information Sciences16%254211102
45e616093a92e5f1e61a7c6037d5f637aa8964afmalfMALFFine-grained evaluation on face detection in the wild[pdf]2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)eduChinese Academy of Sciences40.00447950116.3702380071%171250134
1aad2da473888cb7ebc1bfaa15bfa0f1502ce005jpl_poseJPL-Interaction datasetFirst-Person Activity Recognition: What Are They Doing to Me?[pdf]2013 IEEE Conference on Computer Vision and Pattern Recognition51%148767281093
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2eb84aaba316b095d4bb51da1a3e4365bbf9ab1dkin_faceUB KinFaceGenealogical face recognition based on UB KinFace database[pdf]CVPR 2011 WORKSHOPSeduSUNY Buffalo42.93362780-78.8839447913%30426195
2eb84aaba316b095d4bb51da1a3e4365bbf9ab1dkin_faceUB KinFaceGenealogical face recognition based on UB KinFace database[pdf]CVPR 2011 WORKSHOPSeduSUNY Buffalo42.93362780-78.8839447913%30426195
b6b1b0632eb9d4ab1427278f5e5c46f97753c73dfeiFEIGeneralização cartográfica automatizada para um banco de dados cadastral[pdf]Unknown100%000000
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17b46e2dad927836c689d6787ddb3387c6159ecegeofacesGeoFacesGeoFaceExplorer: exploring the geo-dependence of facial attributes[pdf]eduUniversity of Kentucky38.03337420-84.5017758050%211010
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57178b36c21fd7f4529ac6748614bb3374714e91ijb_cIJB-CIARPA Janus Benchmark - C: Face Dataset and Protocol[pdf]2018 International Conference on Biometrics (ICB)33%936290
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95f12d27c3b4914e0668a268360948bce92f7db3helenHelenInteractive Facial Feature Localization[pdf]eduUniversity of Illinois, Urbana-Champaign40.11116745-88.2258766552%33917716227208100
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137aa2f891d474fce1e7a1d1e9b3aefe21e22b34hrt_transgenderHRT TransgenderIs the eye region more reliable than the face? A preliminary study of face-based recognition on a transgender dataset[pdf]2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)eduUniversity of North Carolina Wilmington34.23755810-77.9270129043%734123
137aa2f891d474fce1e7a1d1e9b3aefe21e22b34hrt_transgenderHRT TransgenderIs the eye region more reliable than the face? A preliminary study of face-based recognition on a transgender dataset[pdf]2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)eduUniversity of North Carolina Wilmington34.23755810-77.9270129043%734123
137aa2f891d474fce1e7a1d1e9b3aefe21e22b34hrt_transgenderHRT TransgenderIs the eye region more reliable than the face? A preliminary study of face-based recognition on a transgender dataset[pdf]2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)eduUniversity of North Carolina Wilmington34.23755810-77.9270129043%734123
0b440695c822a8e35184fb2f60dcdaa8a6de84aekinectfaceKinectFaceDBKinectFaceDB: A Kinect Database for Face Recognition[pdf]IEEE Transactions on Systems, Man, and Cybernetics: Systems16%7512636258
370b5757a5379b15e30d619e4d3fb9e8e13f32563dddb_unconstrained3D DynamicLabeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments[pdf]47%99947252671619260
370b5757a5379b15e30d619e4d3fb9e8e13f3256ar_facedbAR FaceLabeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments[pdf]47%99947252671619260
370b5757a5379b15e30d619e4d3fb9e8e13f3256m2vtsdb_extendedxm2vtsdbLabeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments[pdf]47%99947252671619260
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0d2dd4fc016cb6a517d8fb43a7cc3ff62964832elagLAGLarge Age-Gap face verification by feature injection in deep networks[pdf]Pattern Recognition Letters29%725032
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2a171f8d14b6b8735001a11c217af9587d095848expwExpWLearning Social Relation Traits from Face Images[pdf]2015 IEEE International Conference on Computer Vision (ICCV)eduChinese University of Hong Kong22.42031295114.2078864430%206145150
2a171f8d14b6b8735001a11c217af9587d095848expwExpWLearning Social Relation Traits from Face Images[pdf]2015 IEEE International Conference on Computer Vision (ICCV)eduChinese University of Hong Kong22.42031295114.2078864430%206145150
4e4746094bf60ee83e40d8597a6191e463b57f76leeds_sports_pose_extendedLeeds Sports Pose ExtendedLearning effective human pose estimation from inaccurate annotation[pdf]CVPR 201140%1737010391162
6dd0597f8513dc100cd0bc1b493768cde45098a9stickmen_buffyBuffy StickmenLearning to parse images of articulated bodies[pdf]31%373117256302382
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38b55d95189c5e69cf4ab45098a48fba407609b4cuhk02CUHK02Locally Aligned Feature Transforms across Views[pdf]2013 IEEE Conference on Computer Vision and Pattern Recognition24%24257185171391
c0387e788a52f10bf35d4d50659cfa515d89fbecmarsMARSMARS: A Video Benchmark for Large-Scale Person Re-Identification[pdf]34%14649976960
9055b155cbabdce3b98e16e5ac9c0edf00f9552fmorphMORPH CommercialMORPH: a longitudinal image database of normal adult age-progression[pdf]7th International Conference on Automatic Face and Gesture Recognition (FGR06)46%42419522927231155
9055b155cbabdce3b98e16e5ac9c0edf00f9552fmorph_ncMORPH Non-CommercialMORPH: a longitudinal image database of normal adult age-progression[pdf]7th International Conference on Automatic Face and Gesture Recognition (FGR06)46%42419522927231155
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3dc3f0b64ef80f573e3a5f96e456e52ee980b877georgia_tech_face_databaseGeorgia Tech FaceMaximum Likelihood Training of the Embedded HMM for Face Detection and Recognition[pdf]0%303020
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436f798d1a4e54e5947c1e7d7375c31b2bdb4064tud_stadtmitteTUD-StadtmitteMonocular 3D pose estimation and tracking by detection[pdf]2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition25%30276226321991
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6ad5a38df8dd4cdddd74f31996ce096d41219f72tud_brusselsTUD-BrusselsMulti-cue onboard pedestrian detection[pdf]2009 IEEE Conference on Computer Vision and Pattern Recognition19%21741176141311
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1e3df3ca8feab0b36fd293fe689f93bb2aaac591immediacyImmediacyMulti-task Recurrent Neural Network for Immediacy Prediction[pdf]2015 IEEE International Conference on Computer Vision (ICCV)60%2515102200
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2fda164863a06a92d3a910b96eef927269aeb730names_and_faces_newsNews DatasetNames and faces in the news[pdf]Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.41%2941201742420745
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22909dd19a0ec3b6065334cb5be5392cb24d839dpetsPETS 2017PETS 2017: Dataset and Challenge[pdf]2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)0%808020
56ffa7d906b08d02d6d5a12c7377a57e24ef3391unbc_shoulder_painUNBC-McMaster PainPainful data: The UNBC-McMaster shoulder pain expression archive database[pdf]Face and Gesture 201132%184581262311223
0486214fb58ee9a04edfe7d6a74c6d0f661a7668chokepointChokePointPatch-based probabilistic image quality assessment for face selection and improved video-based face recognition[pdf]CVPR 2011 WORKSHOPSeduUniversity of Queensland-27.49741805153.0131695630%128398966814
488e475eeb3bb39a145f23ede197cd3620f1d98aapisAPiS1.0Pedestrian Attribute Classification in Surveillance: Database and Evaluation[pdf]2013 IEEE International Conference on Computer Vision Workshops38%2610161132
488e475eeb3bb39a145f23ede197cd3620f1d98asvsSVSPedestrian Attribute Classification in Surveillance: Database and Evaluation[pdf]2013 IEEE International Conference on Computer Vision Workshops38%2610161132
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1dc35905a1deff8bc74688f2d7e2f48fd2273275caltech_pedestriansCaltech PedestriansPedestrian detection: A benchmark[pdf]2009 IEEE Conference on Computer Vision and Pattern Recognition17%51989430272862
1dc35905a1deff8bc74688f2d7e2f48fd2273275caltech_pedestriansCaltech PedestriansPedestrian detection: A benchmark[pdf]2009 IEEE Conference on Computer Vision and Pattern Recognition17%51989430272862
3316521a5527c7700af8ae6aef32a79a8b83672ctud_campusTUD-CampusPeople-tracking-by-detection and people-detection-by-tracking[pdf]2008 IEEE Conference on Computer Vision and Pattern Recognition22%529116413413161
3316521a5527c7700af8ae6aef32a79a8b83672ctud_crossingTUD-CrossingPeople-tracking-by-detection and people-detection-by-tracking[pdf]2008 IEEE Conference on Computer Vision and Pattern Recognition22%529116413413161
3316521a5527c7700af8ae6aef32a79a8b83672ctud_pedestrianTUD-PedestrianPeople-tracking-by-detection and people-detection-by-tracking[pdf]2008 IEEE Conference on Computer Vision and Pattern Recognition22%529116413413161
27a2fad58dd8727e280f97036e0d2bc55ef5424cduke_mtmcDuke MTMCPerformance Measures and a Data Set for Multi-target, Multi-camera Tracking[pdf]43%136587861070
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0b84f07af44f964817675ad961def8a51406dd2eprwPRWPerson Re-identification in the Wild[pdf]2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)eduUniversity of Technology Sydney-33.88096510151.2010729938%6525401460
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d80a3d1f3a438e02a6685e66ee908446766fefa9megaageMegaAgeQuantifying Facial Age by Posterior of Age Comparisons[pdf]CoRReduChinese University of Hong Kong22.42031295114.2078864425%413140
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6f3c76b7c0bd8e1d122c6ea808a271fd4749c951wardWARDRe-identify people in wide area camera network[pdf]2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops9%555502350
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9c23859ec7313f2e756a3e85575735e0c52249f4facebook_100Facebook100Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook[pdf]CVPR 2011 WORKSHOPSeduHarvard University42.36782045-71.1266665350%5025253394
9c23859ec7313f2e756a3e85575735e0c52249f4pubfig_83pubfig83Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook[pdf]CVPR 2011 WORKSHOPSeduHarvard University42.36782045-71.1266665350%5025253394
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1a40092b493c6b8840257ab7f96051d1a4dbfeb2sports_videos_in_the_wildSVWSports Videos in the Wild (SVW): A video dataset for sports analysis[pdf]2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)eduMichigan State University42.71856800-84.4779157167%642150
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4d58f886f5150b2d5e48fd1b5a49e09799bf895dtexas_3dfrdTexas 3DFRDTexas 3D Face Recognition Database[pdf]2010 IEEE Southwest Symposium on Image Analysis & Interpretation (SSIAI)18%6111503362
2485c98aa44131d1a2f7d1355b1e372f2bb148adcas_pealCAS-PEALThe CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations[pdf]IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans18%415763393918235
2485c98aa44131d1a2f7d1355b1e372f2bb148adm2vtsm2vtsThe CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations[pdf]IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans18%415763393918235
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32cde90437ab5a70cf003ea36f66f2de0e24b3abcityscapesCityscapesThe Cityscapes Dataset for Semantic Urban Scene Understanding[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)33%771252519546220
32cde90437ab5a70cf003ea36f66f2de0e24b3abcityscapesCityscapesThe Cityscapes Dataset for Semantic Urban Scene Understanding[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)33%771252519546220
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66e6f08873325d37e0ec20a4769ce881e04e964esun_attributesSUNThe SUN Attribute Database: Beyond Categories for Deeper Scene Understanding[pdf]International Journal of Computer Vision38%112436914832
8b2dd5c61b23ead5ae5508bb8ce808b5ea26673010k_US_adult_faces10K US Adult FacesThe intrinsic memorability of face photographs.[pdf]Journal of experimental psychology. General36%4717303331
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b5f2846a506fc417e7da43f6a7679146d99c5e96ucf_101UCF101UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild[pdf]CoRReduUniversity of Central Florida28.59899755-81.1971250154%99953546473708212
16e8b0a1e8451d5f697b94c0c2b32a00abee1d52umbUMBUMB-DB: A database of partially occluded 3D faces[pdf]2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)29%4513322203
31b05f65405534a696a847dd19c621b7b8588263umd_facesUMDUMDFaces: An annotated face dataset for training deep networks[pdf]2017 IEEE International Joint Conference on Biometrics (IJCB)54%3519165286
31b05f65405534a696a847dd19c621b7b8588263umd_facesUMDUMDFaces: An annotated face dataset for training deep networks[pdf]2017 IEEE International Joint Conference on Biometrics (IJCB)54%3519165286
8627f019882b024aef92e4eb9355c499c733e5b7usedUSED Social Event DatasetUSED: a large-scale social event detection dataset[pdf]43%734032
4b4106614c1d553365bad75d7866bff0de6056edczech_news_agencyUFIUnconstrained Facial Images: Database for Face Recognition Under Real-World Conditions[pdf]10%1019042
21d9d0deed16f0ad62a4865e9acf0686f4f15492images_of_groupsImages of GroupsUnderstanding images of groups of people[pdf]2009 IEEE Conference on Computer Vision and Pattern Recognition36%202721301212624
fd8168f1c50de85bac58a8d328df0a50248b16aend_2006ND-2006Using a Multi-Instance Enrollment Representation to Improve 3D Face Recognition[pdf]2007 First IEEE International Conference on Biometrics: Theory, Applications, and Systems25%328243161
4563b46d42079242f06567b3f2e2f7a80cb3befevadanaVADANAVADANA: A dense dataset for facial image analysis[pdf]2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)19%16313066
eb027969f9310e0ae941e2adee2d42cdf07d938cvgg_faces2VGG Face2VGGFace2: A Dataset for Recognising Faces across Pose and Age[pdf]2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018)eduUniversity of Oxford51.75345380-1.2540099738%5621356503
01959ef569f74c286956024866c1d107099199f7vqaVQAVQA: Visual Question Answering[pdf]2015 IEEE International Conference on Computer Vision (ICCV)47%731344387476284
5194cbd51f9769ab25260446b4fa17204752e799violent_flowsViolent FlowsViolent flows: Real-time detection of violent crowd behavior[pdf]2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops20%8317666422
066000d44d6691d27202896691f08b27117918b9psuPSUVision-Based Analysis of Small Groups in Pedestrian Crowds[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence18%151271249782
dd65f71dac86e36eecbd3ed225d016c3336b4a13families_in_the_wildFIWVisual Kinship Recognition of Families in the Wild[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence67%321020
52d7eb0fbc3522434c13cc247549f74bb9609c5dwider_faceWIDER FACEWIDER FACE: A Face Detection Benchmark[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)eduChinese University of Hong Kong22.42031295114.2078864453%14878701610734
77c81c13a110a341c140995bedb98101b9e84f7fwildtrackWildTrackWILDTRACK : A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection[pdf]Unknown100%000000
5ad4e9f947c1653c247d418f05dad758a3f9277bwlfdbWLFDB: Weakly Labeled Face Databases[pdf]Unknown0%101000
0dc11a37cadda92886c56a6fb5191ded62099c28stickmen_familyWe Are Family StickmenWe Are Family: Joint Pose Estimation of Multiple Persons[pdf]44%7734434571
2a75f34663a60ab1b04a0049ed1d14335129e908mmi_facial_expressionMMI Facial Expression DatasetWeb-based database for facial expression analysis[pdf]2005 IEEE International Conference on Multimedia and Expo32%4401422984425882
9b9bf5e623cb8af7407d2d2d857bc3f1b531c182who_goes_thereWGTWho goes there?: approaches to mapping facial appearance diversity[pdf]100%000000
a94cae786d515d3450d48267e12ca954aab791c4yawddYawDDYawDD: a yawning detection dataset[pdf]0%14014121
\ No newline at end of file +All Papers

All Papers

Paper IDMegapixels KeyMegapixels NameReport LinkPDF LinkJournalTypeAddressLatLngCoverageTotal CitationsGeocoded CitationsUnknown CitationsEmpty CitationsWith PDFWith DOI
fb82681ac5d3487bd8e52dbb3d1fa220eeac855epilot_parliamentPPB1 Network Notebook[pdf]9%111101100
3325860c0c82a93b2eac654f5324dd6a776f609empii_human_poseMPII Human Pose2D Human Pose Estimation: New Benchmark and State of the Art Analysis[pdf]2014 IEEE Conference on Computer Vision and Pattern Recognition50%356179177212993
2f5d44dc3e1b5955942133ff872ebd31716ec604frav3dFRAV3D2D and 3D face recognition: A survey[pdf]Pattern Recognition Letters15%389573322819817
e4754afaa15b1b53e70743880484b8d0736990fffiw_300300-W300 Faces In-The-Wild Challenge: database and results[pdf]Image Vision Comput.45%1145163107031
044d9a8c61383312cdafbcc44b9d00d650b21c70fiw_300300-W300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge[pdf]2013 IEEE International Conference on Computer Vision WorkshopseduUniversity of Twente52.238013906.8566761056%2851591252818882
2e8d0f1802e50cccfd3c0aabac0d0beab3a7846e3dpes3DPeS3DPeS: 3D people dataset for surveillance and forensics[pdf]18%1222210011711
9696ad8b164f5e10fcfe23aacf74bd6168aebb154dfab4DFAB4DFAB: A Large Scale 4D Facial Expression Database for Biometric Applications[pdf]CoRR0%404020
d08cc366a4a0192a01e9a7495af1eb5d9f9e73aeb3d_acB3D(AC)A 3-D Audio-Visual Corpus of Affective Communication[pdf]IEEE Transactions on Multimedia31%3912272277
639937b3a1b8bded3f7e9a40e85bd3770016cf3cbfmBFMA 3D Face Model for Pose and Illumination Invariant Face Recognition[pdf]2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance41%3231311922922125
c34532fe6bfbd1e6df477c9ffdbb043b77e7804dcolumbia_gazeColumbia GazeA 3D Morphable Eye Region Model for Gaze Estimation[pdf]UnknowneduCarnegie Mellon University37.41021930-122.0596548767%241680184
cc589c499dcf323fe4a143bbef0074c3e31f9b60bu_3dfeBU-3DFEA 3D facial expression database for facial behavior research[pdf]7th International Conference on Automatic Face and Gesture Recognition (FGR06)eduSUNY Binghamton42.08779975-75.9706606624%5551314244728348
22646e00a7ba34d1b5fbe3b1efcd91a1e1be3c2bsaivtSAIVT SoftBioA Database for Person Re-Identification in Multi-Camera Surveillance Networks[pdf]2012 International Conference on Digital Image Computing Techniques and Applications (DICTA)21%5812467401
070de852bc6eb275d7ca3a9cdde8f6be8795d1a3d3dfacsD3DFACSA FACS valid 3D dynamic action unit database with applications to 3D dynamic morphable facial modeling[pdf]2011 International Conference on Computer VisioneduJacobs University53.41291480-2.9689791544%5223295374
e3e44385a71a52fd483c58eb3cdf8d03960c0b70mcgillMcGill Real WorldA Hierarchical Graphical Model for Recognizing Human Actions and Interactions in Video[pdf]50%211010
bd88bb2e4f351352d88ee7375af834360e223498hda_plusHDA+A Multi - camera video data set for research on High - Definition surveillance[pdf]0%100000
563c940054e4b456661762c1ab858e6f730c3159data_61Data61 PedestrianA Multi-modal Graphical Model for Scene Analysis[pdf]2015 IEEE Winter Conference on Applications of Computer Vision12%817050
221c18238b829c12b911706947ab38fd017acef7rap_pedestrianRAPA Richly Annotated Dataset for Pedestrian Attribute Recognition[pdf]CoRR52%2111100180
013909077ad843eb6df7a3e8e290cfd5575999d2fiw_300300-WA Semi-automatic Methodology for Facial Landmark Annotation[pdf]2013 IEEE Conference on Computer Vision and Pattern Recognition WorkshopseduUniversity of Twente52.238013906.8566761059%169100691411249
3b4ec8af470948a72a6ed37a9fd226719a874ebcsdu_vidSDU-VIDA Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification[pdf]2015 IEEE International Conference on Computer Vision (ICCV)32%8527589510
ad62c6e17bc39b4dec20d32f6ac667ae42d2c118jiku_mobileJiku Mobile Video DatasetA Synchronization Ground Truth for the Jiku Mobile Video Dataset[pdf]0%101000
6403117f9c005ae81f1e8e6d1302f4a045e3d99dalert_airportALERT AirportA Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets.[pdf]IEEE transactions on pattern analysis and machine intelligence27%154111100
7ace44190729927e5cb0dd5d363fcae966fe13f7nudedetectionNude DetectionA bag-of-features approach based on Hue-SIFT descriptor for nude detection[pdf]2009 17th European Signal Processing Conference18%519421180
0d3bb75852098b25d90f31d2f48fd0cb4944702bface_scrubFaceScrubA data-driven approach to cleaning large face datasets[pdf]2014 IEEE International Conference on Image Processing (ICIP)eduUniversity of Illinois, Urbana-Champaign40.11116745-88.2258766546%123566769521
b91f54e1581fbbf60392364323d00a0cd43e493cbp4d_spontanousBP4D-SpontanousA high-resolution spontaneous 3D dynamic facial expression database[pdf]2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)eduSUNY Binghamton42.08779975-75.9706606636%151549778526
1ed1a49534ad8dd00f81939449f6389cfbc25321bjut_3dBJUT-3DA novel face recognition method based on 3D face model[pdf]2007 IEEE International Conference on Robotics and Biomimetics (ROBIO)0%202011
2624d84503bc2f8e190e061c5480b6aa4d89277aafew_vaAFEW-VAAFEW-VA database for valence and arousal estimation in-the-wild[pdf]Image Vision Comput.47%15781103
2ad0ee93d029e790ebb50574f403a09854b65b7eyale_facesYaleFacesAcquiring linear subspaces for face recognition under variable lighting[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence25%999251748110509113
57fe081950f21ca03b5b375ae3e84b399c015861cvc_01_barcelonaCVC-01Adaptive Image Sampling and Windows Classification for On–board Pedestrian Detection[pdf]9%444401210
47aeb3b82f54b5ae8142b4bdda7b614433e69b9aam_fedAM-FEDAffectiva-MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected "In-the-Wild"[pdf]36%73264763916
1be498d4bbc30c3bfd0029114c784bc2114d67c0adienceAdienceAge and Gender Estimation of Unfiltered Faces[pdf]IEEE Transactions on Information Forensics and Security43%168729678953
6dcf418c778f528b5792104760f1fbfe90c6dd6aagedbAgeDBAgeDB: The First Manually Collected, In-the-Wild Age Database[pdf]2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)82%11920100
a74251efa970b92925b89eeef50a5e37d9281ad0aflwAFLWAnnotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization[pdf]2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)53%2921551373820759
a74251efa970b92925b89eeef50a5e37d9281ad0imm_faceIMM Face DatasetAnnotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization[pdf]2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)53%2921551373820759
a74251efa970b92925b89eeef50a5e37d9281ad0muctMUCTAnnotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization[pdf]2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)53%2921551373820759
2ce2560cf59db59ce313bbeb004e8ce55c5ce928texas_3dfrdTexas 3DFRDAnthropometric 3D Face Recognition[pdf]International Journal of Computer Vision22%8819434422
c6526dd3060d63a6c90e8b7ff340383c4e0e0dd8face_research_labFace Research Lab LondonAnxiety promotes memory for mood-congruent faces but does not alter loss aversion.[pdf]Scientific reportseduUniversity College London51.52316070-0.1282037025%413022
0df0d1adea39a5bef318b74faa37de7f3e00b452mpii_gazeMPIIGazeAppearance-based gaze estimation in the wild[pdf]2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)eduMax Planck Institute for Informatics49.257956607.0457741738%13852863947
5801690199c1917fa58c35c3dead177c0b8f9f2dcamelCAMELApplication of Object Based Classification and High Resolution Satellite Imagery for Savanna Ecosystem Analysis[pdf]Remote Sensing37%197121160
759a3b3821d9f0e08e0b0a62c8b693230afc3f8dpubfigPubFigAttribute and simile classifiers for face verification[pdf]2009 IEEE 12th International Conference on Computer VisioneduColumbia University40.84198360-73.9436897151%89445444055587222
faf40ce28857aedf183e193486f5b4b0a8c478a2iit_dehli_earIIT Dehli EarAutomated Human Identification Using Ear Imaging[pdf]Unknown13%709616281
2160788824c4c29ffe213b2cbeb3f52972d73f373d_rma3D-RMAAutomatic 3D face authentication[pdf]Image Vision Comput.25%9524718602
213a579af9e4f57f071b884aa872651372b661fdbbc_poseBBC PoseAutomatic and Efficient Human Pose Estimation for Sign Language Videos[pdf]International Journal of Computer Vision60%2515101181
fcc6fe6007c322641796cb8792718641856a22a7miwMIWAutomatic facial makeup detection with application in face recognition[pdf]2013 International Conference on Biometrics (ICB)eduWest Virginia University39.65404635-79.9647535565%46301611821
fcc6fe6007c322641796cb8792718641856a22a7youtube_makeupYMUAutomatic facial makeup detection with application in face recognition[pdf]2013 International Conference on Biometrics (ICB)eduWest Virginia University39.65404635-79.9647535565%46301611821
0a85bdff552615643dd74646ac881862a7c7072dpipaPIPABeyond frontal faces: Improving Person Recognition using multiple cues[pdf]2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)60%5030192404
2acf7e58f0a526b957be2099c10aab693f795973bosphorusThe BosphorusBosphorus Database for 3D Face Analysis[pdf]18%328582701814337
214c966d1f9c2a4b66f4535d9a0d4078e63a5867brainwashBrainwashBrainwash: A Data System for Feature Engineering[pdf]60%5734232500
37d6f0eb074d207b53885bd2eb78ccc8a04be597vmuVMUCan facial cosmetics affect the matching accuracy of face recognition systems?[pdf]2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS)49%49242501822
37d6f0eb074d207b53885bd2eb78ccc8a04be597youtube_makeupYMUCan facial cosmetics affect the matching accuracy of face recognition systems?[pdf]2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS)49%49242501822
8d5998cd984e7cce307da7d46f155f9db99c6590chalearnChaLearnChaLearn looking at people: A review of events and resources[pdf]2017 International Joint Conference on Neural Networks (IJCNN)30%1037160
2bf8541199728262f78d4dced6fb91479b39b738clothing_co_parsingCCPClothing Co-parsing by Joint Image Segmentation and Labeling[pdf]2014 IEEE Conference on Computer Vision and Pattern Recognition47%6028320366
6dbe8e5121c534339d6e41f8683e85f87e6abf81gallagherGallagherClothing Cosegmentation for Shopping Images With Cluttered Background[pdf]IEEE Transactions on Multimedia33%624032
4b1d23d17476fcf78f4cbadf69fb130b1aa627c0leeds_sports_poseLeeds Sports PoseClustered Pose and Nonlinear Appearance Models for Human Pose Estimation[pdf]43%278119159121982
4b1d23d17476fcf78f4cbadf69fb130b1aa627c0stickmen_buffyBuffy StickmenClustered Pose and Nonlinear Appearance Models for Human Pose Estimation[pdf]43%278119159121982
4b1d23d17476fcf78f4cbadf69fb130b1aa627c0stickmen_pascalStickmen PASCALClustered Pose and Nonlinear Appearance Models for Human Pose Estimation[pdf]43%278119159121982
45c31cde87258414f33412b3b12fc5bec7cb3ba9jaffeJAFFECoding Facial Expressions with Gabor Wavelets[pdf]eduKyushu University33.59914655130.2235984836%84830854056413255
b1f4423c227fa37b9680787be38857069247a307afew_vaAFEW-VACollecting Large, Richly Annotated Facial-Expression Databases from Movies[pdf]IEEE MultiMediaeduAustralian National University-35.27769990149.1185270033%175586675449
7f4040b482d16354d5938c1d1b926b544652bf5bnova_emotionsNovaemötions DatasetCompetitive affective gaming: winning with a smile[pdf]0%803020
079a0a3bf5200994e1f972b1b9197bf2f90e87d4mit_cbclMIT CBCLComponent-Based Face Recognition with 3D Morphable Models[pdf]2004 Conference on Computer Vision and Pattern Recognition Workshop0%12012080
23fc83c8cfff14a16df7ca497661264fc54ed746cohn_kanadeCKComprehensive Database for Facial Expression Analysis[pdf]eduCarnegie Mellon University37.41021930-122.0596548738%99938061975555252
09d78009687bec46e70efcf39d4612822e61cb8craidRAiDConsistent Re-identification in a Camera Network[pdf]27%4512337341
0ceda9dae8b9f322df65ca2ef02caca9758aec6fcasablancaCasablancaContext-Aware CNNs for Person Head Detection[pdf]2015 IEEE International Conference on Computer Vision (ICCV)33%279181220
0ceda9dae8b9f322df65ca2ef02caca9758aec6fhollywood_headsetHollywoodHeadsContext-Aware CNNs for Person Head Detection[pdf]2015 IEEE International Conference on Computer Vision (ICCV)33%279181220
c06b13d0ec3f5c43e2782cd22542588e233733c3nova_emotionsNovaemötions DatasetCrowdsourcing facial expressions for affective-interaction[pdf]Computer Vision and Image Understanding0%101010
8355d095d3534ef511a9af68a3b2893339e3f96bimdb_wikiIMDBDEX: Deep EXpectation of Apparent Age from a Single Image[pdf]2015 IEEE International Conference on Computer Vision Workshop (ICCVW)44%102455466228
10195a163ab6348eef37213a46f60a3d87f289c5imdb_wikiIMDBDeep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks[pdf]International Journal of Computer Vision44%1335974149028
162ea969d1929ed180cc6de9f0bf116993ff6e06vgg_facesVGG FaceDeep Face Recognition[pdf]Unknown39%99939360671621156
6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4celebaCelebADeep Learning Face Attributes in the Wild[pdf]2015 IEEE International Conference on Computer Vision (ICCV)eduChinese University of Hong Kong22.42031295114.2078864442%8083404686966650
18010284894ed0edcca74e5bf768ee2e15ef7841deep_fashionDeepFashionDeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)47%150717941118
6bd36e9fd0ef20a3074e1430a6cc601e6d407fc3cuhk03CUHK03DeepReID: Deep Filter Pairing Neural Network for Person Re-identification[pdf]2014 IEEE Conference on Computer Vision and Pattern Recognition35%512180332293234
13f06b08f371ba8b5d31c3e288b4deb61335b462eth_andreas_essETHZ PedestrianDepth and Appearance for Mobile Scene Analysis[pdf]2007 IEEE 11th International Conference on Computer Vision25%31979240271920
2e384f057211426ac5922f1b33d2aa8df5d51f57a_pascal_yahooaPascalDescribing objects by their attributes[pdf]2009 IEEE Conference on Computer Vision and Pattern Recognition39%9993936067172773
7808937b46acad36e43c30ae4e9f3fd57462853dberkeley_poseBPADDescribing people: A poselet-based approach to attribute classification[pdf]2011 International Conference on Computer Vision43%221961251416023
56ae6d94fc6097ec4ca861f0daa87941d1c10b70cmdpCMDPDistance Estimation of an Unknown Person from a Portrait[pdf]eduCalifornia Institute of Technology34.13710185-118.1252748722%927061
84fe5b4ac805af63206012d29523a1e033bc827eawe_earsAWE EarsEar recognition: More than a survey[pdf]Neurocomputing29%247170110
133f01aec1534604d184d56de866a4bd531dac87lfw_aLFW-aEffective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence42%177751021510254
447d8893a4bdc29fa1214e53499ffe67b28a6db5umd_facesUMDElectronic Transport in Quantum Confined Systems[pdf]0%101010
c900e0ad4c95948baaf0acd8449fde26f9b4952aemotio_netEmotioNet DatabaseEmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)44%7232407548
2161f6b7ee3c0acc81603b01dc0df689683577b9large_scale_person_searchLarge Scale Person SearchEnd-to-End Deep Learning for Person Search[pdf]CoRR34%4114272270
6273b3491e94ea4dd1ce42b791d77bdc96ee73a8viperVIPeREvaluating Appearance Models for Recognition, Reacquisition, and Tracking[pdf]27%584159425383369
2258e01865367018ed6f4262c880df85b94959f8motMOTEvaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics[pdf]EURASIP J. Image and Video Processing20%586119467483363
9e5378e7b336c89735d3bb15cf67eff96f86d39aprecariousPrecariousExpecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters[pdf]2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)8%121111100
35b0331dfcd2897abd5749b49ff5e2b8ba0f7a62coco_qaCOCO QAExploring Models and Data for Image Question Answering[pdf]43%19183108121631
42505464808dfb446f521fc6ff2cfeffd4d68ff1gavab_dbGavabExpression invariant 3D face recognition with a Morphable Model[pdf]2008 8th IEEE International Conference on Automatic Face & Gesture Recognition29%94276710575
a5acda0e8c0937bfed013e6382da127103e41395disfaDISFAExtended DISFA Dataset: Investigating Posed and Spontaneous Facial Expressions[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)38%835150
75da1df4ed319926c544eefe17ec8d720feef8c0fddbFDDBFDDB: A Benchmark for Face Detection in Unconstrained Settings[pdf]eduUniversity of Massachusetts42.38897850-72.528698700%101000
3607afdb204de9a5a9300ae98aa4635d9effcda2sheffieldSheffield FaceFace Description with Local Binary Patterns: Application to Face Recognition[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence24%9992387616548387
28312c3a47c1be3a67365700744d3d6665b86f22hrt_transgenderHRT TransgenderFace Recognition: A Literature Survey1[pdf]11%9991052653221739
0e986f51fe45b00633de9fd0c94d082d2be51406afwAFWFace detection, pose estimation, and landmark localization in the wild[pdf]2012 IEEE Conference on Computer Vision and Pattern RecognitioneduUniversity of California, Irvine33.64319010-117.8401649452%99952147859607273
560e0e58d0059259ddf86fcec1fa7975dee6a868youtube_facesYouTubeFacesFace recognition in unconstrained videos with matched background similarity[pdf]CVPR 2011eduOpen University of Israel32.7782416534.9956567350%48524424032290140
670637d0303a863c1548d5b19f705860a23e285cface_tracerFaceTracerFace swapping: automatically replacing faces in photographs[pdf]ACM Trans. Graph.eduColumbia University40.84198360-73.94368971100%220011
4c170a0dcc8de75587dae21ca508dab2f9343974face_tracerFaceTracerFaceTracer: A Search Engine for Large Collections of Images with Faces[pdf]eduColumbia University40.84198360-73.9436897148%2181051131714652
7ebb153704706e457ab57b432793d2b6e5d12592vgg_celebs_in_placesCIPFaces in Places: compound query retrieval[pdf]UnknowneduUniversity of Oxford51.75345380-1.2540099780%541040
8a3c5507237957d013a0fe0f082cab7f757af6eemaflMAFLFacial Landmark Detection by Deep Multi-task Learning[pdf]eduChinese University of Hong Kong22.42031295114.2078864448%3831822012525960
8a3c5507237957d013a0fe0f082cab7f757af6eemtflMTFLFacial Landmark Detection by Deep Multi-task Learning[pdf]eduChinese University of Hong Kong22.42031295114.2078864448%3831822012525960
014b8df0180f33b9fea98f34ae611c6447d761d2buhmap_dbBUHMAP-DB Facial feature tracking and expression recognition for sign language[pdf]2008 23rd International Symposium on Computer and Information Sciences16%254211102
4fefd1bc8dc4e0ab37ee3324ddfa43ad9d6a04a7deep_fashionDeepFashionFashion Landmark Detection in the Wild[pdf]eduChinese University of Hong Kong22.42031295114.2078864439%23980150
45e616093a92e5f1e61a7c6037d5f637aa8964afmalfMALFFine-grained evaluation on face detection in the wild[pdf]2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)eduChinese Academy of Sciences40.00447950116.3702380071%171250134
1aad2da473888cb7ebc1bfaa15bfa0f1502ce005jpl_poseJPL-Interaction datasetFirst-Person Activity Recognition: What Are They Doing to Me?[pdf]2013 IEEE Conference on Computer Vision and Pattern Recognition51%148767281093
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44d23df380af207f5ac5b41459c722c87283e1ebwider_attributeWIDER AttributeHuman Attribute Recognition by Deep Hierarchical Contexts[pdf]UnknowneduChinese University of Hong Kong22.42031295114.2078864467%181260160
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57178b36c21fd7f4529ac6748614bb3374714e91ijb_cIJB-CIARPA Janus Benchmark - C: Face Dataset and Protocol[pdf]2018 International Conference on Biometrics (ICB)33%936290
0cb2dd5f178e3a297a0c33068961018659d0f443ijb_bIJB-BIARPA Janus Benchmark-B Face Dataset[pdf]2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)24%256196213
0297448f3ed948e136bb06ceff10eccb34e5bb77ilids_mctsImagery Library for Intelligent Detection Systems (i-LIDS); A Standard for Testing Video Based Detection Systems[pdf]Proceedings 40th Annual 2006 International Carnahan Conference on Security Technology22%327252170
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ca3e88d87e1344d076c964ea89d91a75c417f5eeimfdbIMFDBIndian Movie Face Database: A benchmark for face recognition under wide variations[pdf]2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)60%15960104
95f12d27c3b4914e0668a268360948bce92f7db3helenHelenInteractive Facial Feature Localization[pdf]eduUniversity of Illinois, Urbana-Champaign40.11116745-88.2258766552%33917716227208100
4d423acc78273b75134e2afd1777ba6d3a398973cmu_pieCMU PIEInternational Conference on Automatic Face and Gesture Recognition The CMU Pose , Illumination , and Expression ( PIE ) Database[pdf]44%74233041261410232
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2f43b614607163abf41dfe5d17ef6749a1b61304hrt_transgenderHRT TransgenderInvestigating the Periocular-Based Face Recognition Across Gender Transformation[pdf]IEEE Transactions on Information Forensics and SecurityeduUniversity of North Carolina at Wilmington34.22498270-77.8690774438%1353033
066d71fcd997033dce4ca58df924397dfe0b5fd1ifdbIFDBIranian Face Database and Evaluation with a New Detection Algorithm[pdf]100%000000
b71d1aa90dcbe3638888725314c0d56640c1fef1ifdbIFDBIranian Face Database with age, pose and expression[pdf]2007 International Conference on Machine Vision20%204162113
137aa2f891d474fce1e7a1d1e9b3aefe21e22b34hrt_transgenderHRT TransgenderIs the eye region more reliable than the face? A preliminary study of face-based recognition on a transgender dataset[pdf]2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)eduUniversity of North Carolina Wilmington34.23755810-77.9270129043%734123
0b440695c822a8e35184fb2f60dcdaa8a6de84aekinectfaceKinectFaceDBKinectFaceDB: A Kinect Database for Face Recognition[pdf]IEEE Transactions on Systems, Man, and Cybernetics: Systems16%7512636258
4793f11fbca4a7dba898b9fff68f70d868e2497ckin_faceUB KinFaceKinship Verification through Transfer Learning[pdf]14%669392185
2d3482dcff69c7417c7b933f22de606a0e8e42d4lfwLFWLabeled Faces in the Wild : Updates and New Reporting Procedures[pdf]eduUniversity of Massachusetts42.38897850-72.5286987041%116474646219
370b5757a5379b15e30d619e4d3fb9e8e13f32563dddb_unconstrained3D DynamicLabeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments[pdf]47%99947252671619260
370b5757a5379b15e30d619e4d3fb9e8e13f3256ar_facedbAR FaceLabeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments[pdf]47%99947252671619260
370b5757a5379b15e30d619e4d3fb9e8e13f3256lfwLFWLabeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments[pdf]47%99947252671619260
370b5757a5379b15e30d619e4d3fb9e8e13f3256m2vtsdb_extendedxm2vtsdbLabeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments[pdf]47%99947252671619260
370b5757a5379b15e30d619e4d3fb9e8e13f3256put_facePut FaceLabeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments[pdf]47%99947252671619260
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0d2dd4fc016cb6a517d8fb43a7cc3ff62964832elagLAGLarge Age-Gap face verification by feature injection in deep networks[pdf]Pattern Recognition Letters29%725032
f3b84a03985de3890b400b68e2a92c0a00afd9d0scfaceSCfaceLarge Variability Surveillance Camera Face Database[pdf]2015 Seventh International Conference on Computational Intelligence, Modelling and Simulation (CIMSim)0%101000
07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1uccsUCCSLarge scale unconstrained open set face database[pdf]2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)eduUniversity of Colorado at Colorado Springs38.89646790-104.8050594060%532030
a0fd85b3400c7b3e11122f44dc5870ae2de9009amaflMAFLLearning Deep Representation for Face Alignment with Auxiliary Attributes[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence33%105355085516
a0fd85b3400c7b3e11122f44dc5870ae2de9009amtflMTFLLearning Deep Representation for Face Alignment with Auxiliary Attributes[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence33%105355085516
69a68f9cf874c69e2232f47808016c2736b90c35celeba_plusCelebFaces+Learning Deep Representation for Imbalanced Classification[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)eduShenzhen Institutes of Advanced Technology22.59805605113.9853378433%5117341392
853bd61bc48a431b9b1c7cab10c603830c488e39casia_webfaceCASIA WebfaceLearning Face Representation from Scratch[pdf]CoRR53%43623320332284115
2a171f8d14b6b8735001a11c217af9587d095848expwExpWLearning Social Relation Traits from Face Images[pdf]2015 IEEE International Conference on Computer Vision (ICCV)eduChinese University of Hong Kong22.42031295114.2078864430%206145150
2a171f8d14b6b8735001a11c217af9587d095848social_relationSocial RelationLearning Social Relation Traits from Face Images[pdf]2015 IEEE International Conference on Computer Vision (ICCV)eduChinese University of Hong Kong22.42031295114.2078864430%206145150
4e4746094bf60ee83e40d8597a6191e463b57f76leeds_sports_pose_extendedLeeds Sports Pose ExtendedLearning effective human pose estimation from inaccurate annotation[pdf]CVPR 201140%1737010391162
6dd0597f8513dc100cd0bc1b493768cde45098a9stickmen_buffyBuffy StickmenLearning to parse images of articulated bodies[pdf]31%373117256302382
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38b55d95189c5e69cf4ab45098a48fba407609b4cuhk02CUHK02Locally Aligned Feature Transforms across Views[pdf]2013 IEEE Conference on Computer Vision and Pattern Recognition24%24257185171391
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9055b155cbabdce3b98e16e5ac9c0edf00f9552fmorphMORPH CommercialMORPH: a longitudinal image database of normal adult age-progression[pdf]7th International Conference on Automatic Face and Gesture Recognition (FGR06)46%42419522927231155
9055b155cbabdce3b98e16e5ac9c0edf00f9552fmorph_ncMORPH Non-CommercialMORPH: a longitudinal image database of normal adult age-progression[pdf]7th International Conference on Automatic Face and Gesture Recognition (FGR06)46%42419522927231155
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436f798d1a4e54e5947c1e7d7375c31b2bdb4064tud_stadtmitteTUD-StadtmitteMonocular 3D pose estimation and tracking by detection[pdf]2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition25%30276226321991
3b5b6d19d4733ab606c39c69a889f9e67967f151qmul_gridGRIDMulti-camera activity correlation analysis[pdf]2009 IEEE Conference on Computer Vision and Pattern Recognition25%138351038761
6ad5a38df8dd4cdddd74f31996ce096d41219f72tud_brusselsTUD-BrusselsMulti-cue onboard pedestrian detection[pdf]2009 IEEE Conference on Computer Vision and Pattern Recognition19%21741176141311
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32c801cb7fbeb742edfd94cccfca4934baec71daucf_crowdUCF-CC-50Multi-source Multi-scale Counting in Extremely Dense Crowd Images[pdf]2013 IEEE Conference on Computer Vision and Pattern Recognition38%12548776721
1e3df3ca8feab0b36fd293fe689f93bb2aaac591immediacyImmediacyMulti-task Recurrent Neural Network for Immediacy Prediction[pdf]2015 IEEE International Conference on Computer Vision (ICCV)60%2515102200
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2fda164863a06a92d3a910b96eef927269aeb730names_and_faces_newsNews DatasetNames and faces in the news[pdf]Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.41%2941201742420745
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3316521a5527c7700af8ae6aef32a79a8b83672ctud_crossingTUD-CrossingPeople-tracking-by-detection and people-detection-by-tracking[pdf]2008 IEEE Conference on Computer Vision and Pattern Recognition22%529116413413161
3316521a5527c7700af8ae6aef32a79a8b83672ctud_pedestrianTUD-PedestrianPeople-tracking-by-detection and people-detection-by-tracking[pdf]2008 IEEE Conference on Computer Vision and Pattern Recognition22%529116413413161
27a2fad58dd8727e280f97036e0d2bc55ef5424cduke_mtmcDuke MTMCPerformance Measures and a Data Set for Multi-target, Multi-camera Tracking[pdf]43%136587861070
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377f2b65e6a9300448bdccf678cde59449ecd337ufddUFDDPushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results[pdf]CoRReduJohns Hopkins University39.32905300-76.619425000%202020
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d80a3d1f3a438e02a6685e66ee908446766fefa9megaageMegaAgeQuantifying Facial Age by Posterior of Age Comparisons[pdf]CoRReduChinese University of Hong Kong22.42031295114.2078864425%413140
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d3f5a1848b0028d8ab51d0b0673732cad2e3c8c9stair_actionsSTAIR ActionSTAIR Actions: A Video Dataset of Everyday Home Actions[pdf]CoRR100%000000
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4308bd8c28e37e2ed9a3fcfe74d5436cce34b410market_1501Market 1501Scalable Person Re-identification: A Benchmark[pdf]2015 IEEE International Conference on Computer Vision (ICCV)38%394149245182713
9c23859ec7313f2e756a3e85575735e0c52249f4facebook_100Facebook100Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook[pdf]CVPR 2011 WORKSHOPSeduHarvard University42.36782045-71.1266665350%5025253394
9c23859ec7313f2e756a3e85575735e0c52249f4pubfig_83pubfig83Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook[pdf]CVPR 2011 WORKSHOPSeduHarvard University42.36782045-71.1266665350%5025253394
109df0e8e5969ddf01e073143e83599228a1163fmulti_pieMULTIPIEScheduling heterogeneous multi-cores through performance impact estimation (PIE)[pdf]2012 39th Annual International Symposium on Computer Architecture (ISCA)25%192481448990
51eba481dac6b229a7490f650dff7b17ce05df73imsituimSituSituation Recognition: Visual Semantic Role Labeling for Image Understanding[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)eduUniversity of Washington47.65432380-122.3080089460%4829192452
f152b6ee251cca940dd853c54e6a7b78fbc6b235affectnetAffectNetSkybiometry and AffectNet on Facial Emotion Recognition Using Supervised Machine Learning Algorithms[pdf]Unknown100%000000
23e824d1dfc33f3780dd18076284f07bd99f1c43mifsMIFSSpoofing faces using makeup: An investigative study[pdf]2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA)eduINRIA Méditerranée43.615813107.0683800020%514012
1a40092b493c6b8840257ab7f96051d1a4dbfeb2sports_videos_in_the_wildSVWSports Videos in the Wild (SVW): A video dataset for sports analysis[pdf]2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)eduMichigan State University42.71856800-84.4779157167%642150
9361b784e73e9238d5cefbea5ac40d35d1e3103ftowncenterTownCenterStable Multi-Target Tracking in Real-Time Surveillance Video (Preprint)[pdf]21%31064246241774
c866a2afc871910e3282fd9498dce4ab20f6a332qmul_surv_faceQMUL-SurvFaceSurveillance Face Recognition Challenge[pdf]CoRR100%000000
f6c8d5e35d7e4d60a0104f233ac1a3ab757da53fpkuPKUSwiss-System Based Cascade Ranking for Gait-Based Person Re-Identification[pdf]0%303010
4d58f886f5150b2d5e48fd1b5a49e09799bf895dtexas_3dfrdTexas 3DFRDTexas 3D Face Recognition Database[pdf]2010 IEEE Southwest Symposium on Image Analysis & Interpretation (SSIAI)18%6111503362
2485c98aa44131d1a2f7d1355b1e372f2bb148adcas_pealCAS-PEALThe CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations[pdf]IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans18%415763393918235
2485c98aa44131d1a2f7d1355b1e372f2bb148adm2vtsm2vtsThe CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations[pdf]IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans18%415763393918235
47662d1a368daf70ba70ef2d59eb6209f98b675dfiaCMU FiAThe CMU Face In Action (FIA) Database[pdf]29%5516395387
4df3143922bcdf7db78eb91e6b5359d6ada004d2cfdCFDThe Chicago face database: A free stimulus set of faces and norming data.[pdf]Behavior research methods39%8332512623
20388099cc415c772926e47bcbbe554e133343d1cafeCAFEThe Child Affective Facial Expression (CAFE) set: validity and reliability from untrained adults[pdf]48%3316173281
32cde90437ab5a70cf003ea36f66f2de0e24b3abcityscapesCityscapesThe Cityscapes Dataset for Semantic Urban Scene Understanding[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)33%771252519546220
32cde90437ab5a70cf003ea36f66f2de0e24b3abcityscapesCityscapesThe Cityscapes Dataset for Semantic Urban Scene Understanding[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)33%771252519546220
4e6ee936eb50dd032f7138702fa39b7c18ee8907dartmouth_childrenDartmouth ChildrenThe Dartmouth Database of Children’s Faces: Acquisition and Validation of a New Face Stimulus Set[pdf]40%208122160
f0e17f27f029db4ad650ff278fe3c10ecb6cb0c4europersonsEuroCity PersonsThe EuroCity Persons Dataset: A Novel Benchmark for Object Detection[pdf]CoRR0%101010
4d9a02d080636e9666c4d1cc438b9893391ec6c7cohn_kanade_plusCK+The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression[pdf]2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops41%97540357265460345
0f0fcf041559703998abf310e56f8a2f90ee6f21feretFERETThe FERET Evaluation Methodology for Face-Recognition Algorithms[pdf]IEEE Trans. Pattern Anal. Mach. Intell.11%9991092593221351
0c4a139bb87c6743c7905b29a3cfec27a5130652feretFERETThe FERET Verification Testing Protocol for Face Recognition Algorithms[pdf]28%112318112764
8f02ec0be21461fbcedf51d864f944cfc42c875fhda_plusHDA+The HDA+ Data Set for Research on Fully Automated Re-identification Systems[pdf]12%172152110
ea050801199f98a1c7c1df6769f23f658299a3aempi_largeLarge MPI Facial ExpressionThe MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions[pdf]46%2813154243
ea050801199f98a1c7c1df6769f23f658299a3aempi_smallSmall MPI Facial ExpressionThe MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions[pdf]46%2813154243
f1af714b92372c8e606485a3982eab2f16772ad8mug_facesMUG FacesThe MUG facial expression database[pdf]11th International Workshop on Image Analysis for Multimedia Interactive Services WIAMIS 10eduAristotle University of Thessaloniki40.6298414522.9588935028%68194952819
79828e6e9f137a583082b8b5a9dfce0c301989b8mapillaryMapillaryThe Mapillary Vistas Dataset for Semantic Understanding of Street Scenes[pdf]2017 IEEE International Conference on Computer Vision (ICCV)39%4417270360
96e0cfcd81cdeb8282e29ef9ec9962b125f379b0megafaceMegaFaceThe MegaFace Benchmark: 1 Million Faces for Recognition at Scale[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)eduUniversity of Washington47.65432380-122.3080089455%1216655119820
a6e695ddd07aad719001c0fc1129328452385949yfcc_100mYFCC100MThe New Data and New Challenges in Multimedia Research[pdf]CoRR36%16057103111054
abe9f3b91fd26fa1b50cd685c0d20debfb372f73vocVOCThe Pascal Visual Object Classes Challenge: A Retrospective[pdf]International Journal of Computer Vision32%999315684756986
66e6f08873325d37e0ec20a4769ce881e04e964esun_attributesSUNThe SUN Attribute Database: Beyond Categories for Deeper Scene Understanding[pdf]International Journal of Computer Vision38%112436914832
8b2dd5c61b23ead5ae5508bb8ce808b5ea26673010k_US_adult_faces10K US Adult FacesThe intrinsic memorability of face photographs.[pdf]Journal of experimental psychology. General36%4717303331
19d1b811df60f86cbd5e04a094b07f32fff7a32ayork_3dUOY 3D Face DatabaseThree-dimensional face recognition: an eigensurface approach[pdf]2004 International Conference on Image Processing, 2004. ICIP '04.19%367294251
2edb87494278ad11641b6cf7a3f8996de12b8e14qmul_gridGRIDTime-Delayed Correlation Analysis for Multi-Camera Activity Understanding[pdf]International Journal of Computer Vision16%7712393320
298cbc3dfbbb3a20af4eed97906650a4ea1c29e0ferplusFER+Training deep networks for facial expression recognition with crowd-sourced label distribution[pdf]34%2910190153
b5f2846a506fc417e7da43f6a7679146d99c5e96ucf_101UCF101UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild[pdf]CoRReduUniversity of Central Florida28.59899755-81.1971250154%99953546473708212
16e8b0a1e8451d5f697b94c0c2b32a00abee1d52umbUMBUMB-DB: A database of partially occluded 3D faces[pdf]2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)29%4513322203
31b05f65405534a696a847dd19c621b7b8588263umd_facesUMDUMDFaces: An annotated face dataset for training deep networks[pdf]2017 IEEE International Joint Conference on Biometrics (IJCB)54%3519165286
8627f019882b024aef92e4eb9355c499c733e5b7usedUSED Social Event DatasetUSED: a large-scale social event detection dataset[pdf]43%734032
4b4106614c1d553365bad75d7866bff0de6056edczech_news_agencyUFIUnconstrained Facial Images: Database for Face Recognition Under Real-World Conditions[pdf]10%1019042
08f6745bc6c1b0fb68953ea61054bdcdde6d2fc7kin_faceUB KinFaceUnderstanding Kin Relationships in a Photo[pdf]IEEE Transactions on Multimedia24%89214622014
21d9d0deed16f0ad62a4865e9acf0686f4f15492images_of_groupsImages of GroupsUnderstanding images of groups of people[pdf]2009 IEEE Conference on Computer Vision and Pattern Recognition36%202721301212624
fd8168f1c50de85bac58a8d328df0a50248b16aend_2006ND-2006Using a Multi-Instance Enrollment Representation to Improve 3D Face Recognition[pdf]2007 First IEEE International Conference on Biometrics: Theory, Applications, and Systems25%328243161
4563b46d42079242f06567b3f2e2f7a80cb3befevadanaVADANAVADANA: A dense dataset for facial image analysis[pdf]2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)19%16313066
eb027969f9310e0ae941e2adee2d42cdf07d938cvgg_faces2VGG Face2VGGFace2: A Dataset for Recognising Faces across Pose and Age[pdf]2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018)eduUniversity of Oxford51.75345380-1.2540099738%5621356503
01959ef569f74c286956024866c1d107099199f7vqaVQAVQA: Visual Question Answering[pdf]2015 IEEE International Conference on Computer Vision (ICCV)47%731344387476284
5194cbd51f9769ab25260446b4fa17204752e799violent_flowsViolent FlowsViolent flows: Real-time detection of violent crowd behavior[pdf]2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops20%8317666422
066000d44d6691d27202896691f08b27117918b9psuPSUVision-Based Analysis of Small Groups in Pedestrian Crowds[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence18%151271249782
dd65f71dac86e36eecbd3ed225d016c3336b4a13families_in_the_wildFIWVisual Kinship Recognition of Families in the Wild[pdf]IEEE Transactions on Pattern Analysis and Machine Intelligence67%321020
52d7eb0fbc3522434c13cc247549f74bb9609c5dwider_faceWIDER FACEWIDER FACE: A Face Detection Benchmark[pdf]2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)eduChinese University of Hong Kong22.42031295114.2078864453%14878701610734
77c81c13a110a341c140995bedb98101b9e84f7fwildtrackWildTrackWILDTRACK : A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection[pdf]Unknown100%000000
5ad4e9f947c1653c247d418f05dad758a3f9277bwlfdbWLFDB: Weakly Labeled Face Databases[pdf]Unknown0%101000
0dc11a37cadda92886c56a6fb5191ded62099c28stickmen_familyWe Are Family StickmenWe Are Family: Joint Pose Estimation of Multiple Persons[pdf]44%7734434571
2a75f34663a60ab1b04a0049ed1d14335129e908mmi_facial_expressionMMI Facial Expression DatasetWeb-based database for facial expression analysis[pdf]2005 IEEE International Conference on Multimedia and Expo32%4401422984425882
9b9bf5e623cb8af7407d2d2d857bc3f1b531c182who_goes_thereWGTWho goes there?: approaches to mapping facial appearance diversity[pdf]100%000000
a94cae786d515d3450d48267e12ca954aab791c4yawddYawDDYawDD: a yawning detection dataset[pdf]0%14014121
\ No newline at end of file diff --git a/scraper/s2-citation-report.py b/scraper/s2-citation-report.py index fc52cc35..e0d812d7 100644 --- a/scraper/s2-citation-report.py +++ b/scraper/s2-citation-report.py @@ -6,7 +6,6 @@ import math import operator import click import subprocess -#import builder from util import * DIR_PUBLIC_CITATIONS = "../site/datasets/citations" @@ -33,12 +32,17 @@ def s2_citation_report(): print("citations: {}".format(paper_count)) print("geocoded: {} ({}%)".format(geocode_count, percent(geocode_count, paper_count))) + # fetch_google_sheet + sts = subprocess.call([ "s3cmd", "sync", DIR_PUBLIC_CITATIONS + '/', "s3://megapixels/v1/citations/", ]) +def write_master_report(fn, title, papers, key): + keys, rows = fetch_google_sheet('statistics') + def write_papers_report(fn, title, papers, key, reverse=False): sorted_papers = [] for paper in sorted(papers, key=lambda x: x[key], reverse=reverse): @@ -154,7 +158,7 @@ def process_paper(row, addresses, success): pdf_count += 1 if has_doi: doi_count += 1 - if citation.data is None: + if citation is None or citation.data is None: print("Citation missing! {}".format(cite['paperId'])) continue institutions = load_institutions(citationId) diff --git a/scraper/s2-geocode-spreadsheet.py b/scraper/s2-geocode-spreadsheet.py index d0fd2050..66607562 100644 --- a/scraper/s2-geocode-spreadsheet.py +++ b/scraper/s2-geocode-spreadsheet.py @@ -12,7 +12,7 @@ def s2_geocode_spreadsheet(): geolocator = geocoders.GoogleV3(os.getenv('MAPS_API_KEY')) worksheet = fetch_worksheet() - rows = fetch_google_sheet() + keys, rows = fetch_google_sheet() valid_count = 0 invalid_count = 0 diff --git a/scraper/util.py b/scraper/util.py index a435f91a..c02f018c 100644 --- a/scraper/util.py +++ b/scraper/util.py @@ -259,7 +259,7 @@ class AddressBook (object): def __init__(self): entities = {} lookup = {} - data = fetch_google_sheet() + keys, data = fetch_google_sheet() # keys, data = read_csv('reports/pdf_institutions_deduped.csv', keys=True) for index, line in enumerate(data): if line[0] == line[1] or line[0] not in entities: @@ -283,16 +283,20 @@ class AddressBook (object): return self.data[index] return None -def fetch_worksheet(): +def fetch_spreadsheet(): scope = ['https://spreadsheets.google.com/feeds','https://www.googleapis.com/auth/drive'] credentials = ServiceAccountCredentials.from_json_keyfile_name('./.creds/Megapixels-ef28f91112a9.json', scope) docid = "1denb7TjYsN9igHyvYah7fQ0daABW32Z30lwV7QrDJQc" client = gspread.authorize(credentials) spreadsheet = client.open_by_key(docid) - return spreadsheet.worksheet("institutions") + return spreadsheet -def fetch_google_sheet(): - rows = fetch_worksheet().get_all_values() +def fetch_worksheet(name="institutions"): + spreadsheet = fetch_spreadsheet() + return spreadsheet.worksheet(name) + +def fetch_google_sheet(name="institutions"): + rows = fetch_worksheet(name).get_all_values() keys = rows[0] lines = rows[1:] - return lines + return keys, lines -- cgit v1.2.3-70-g09d2