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| author | jules@lens <julescarbon@gmail.com> | 2019-05-24 15:53:22 +0200 |
|---|---|---|
| committer | jules@lens <julescarbon@gmail.com> | 2019-05-24 15:53:22 +0200 |
| commit | dd262a23cdc17d1909b4d4235e1683a32369bd1e (patch) | |
| tree | 3eb77009b20524c5b4b168e947a65bccedef9019 /site/datasets | |
| parent | b2b2c7d7816baa7d6de36c1de3576a31aa92a209 (diff) | |
build
Diffstat (limited to 'site/datasets')
99 files changed, 121 insertions, 116 deletions
diff --git a/site/datasets/citations/adience.json b/site/datasets/citations/adience.json index 55a97565..88eda0be 100644 --- a/site/datasets/citations/adience.json +++ b/site/datasets/citations/adience.json @@ -1 +1 @@ -{"id": "1be498d4bbc30c3bfd0029114c784bc2114d67c0", "paper": {"key": "adience", "name": "Adience", "title": "Age and Gender Estimation of Unfiltered Faces", "year": "2014", "addresses": [{"name": "Open University of Israel", "source_name": "Open University of Israel", "street_adddress": "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "lat": "32.77824165", "lng": "34.99565673", "type": "edu", "country": "Israel"}]}, "citations": [{"id": 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\u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "lat": "23.09461185", "lng": "113.28788994", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8499059"]}, {"id": "f0ae807627f81acb63eb5837c75a1e895a92c376", "title": "Facial Landmark Detection using Ensemble of Cascaded Regressions", "addresses": [{"name": "Technical University", "source_name": "Faculty of Computer Science, Technical University, Cluj-Napoca, Romania", "street_adddress": "Strada George Bari\u021biu 26-28, Cluj-Napoca 400027, Romania", "lat": "46.77235810", "lng": "23.58520750", "type": "edu", "country": "Romania"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f0ae/807627f81acb63eb5837c75a1e895a92c376.pdf"], "doi": []}, {"id": "336488746cc76e7f13b0ec68ccfe4df6d76cdc8f", "title": "Adaptive Cascade Regression Model For Robust Face Alignment", "addresses": [{"name": "University of Technology Sydney", "source_name": "University of Technology Sydney", "street_adddress": "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "lat": "-33.88096510", "lng": "151.20107299", "type": "edu", "country": "Australia"}, {"name": "Nanjing University of Information and Technology", "source_name": "B-DAT Laboratory, Nanjing University of Information and Technology, Nanjing, China", "street_adddress": "Pukou, Nanjing, China, 210044", "lat": "32.20541000", "lng": "118.72695600", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7762938", "http://doi.org/10.1109/TIP.2016.2633939", "https://doi.org/10.1109/TIP.2016.2633939", "https://www.ncbi.nlm.nih.gov/pubmed/27913349"]}, {"id": "63d865c66faaba68018defee0daf201db8ca79ed", "title": "Deep Regression for Face Alignment", "addresses": [{"name": "Microsoft Research Asia", "source_name": "Microsoft Research Asia", "street_adddress": "1 Memorial Dr, Cambridge, MA 02142, USA", "lat": "42.36142560", "lng": "-71.08120920", "type": "company", "country": "United States"}], "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.5230.pdf"], "doi": []}, {"id": "88e2574af83db7281c2064e5194c7d5dfa649846", "title": "A Robust Shape Reconstruction Method for Facial Feature Point Detection", "addresses": [{"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["http://downloads.hindawi.com/journals/cin/2017/4579398.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28316615", "http://doi.org/10.1155/2017%2F4579398", "https://www.wikidata.org/entity/Q37681494"]}, {"id": "5f4219118556d2c627137827a617cf4e26242a6e", "title": "Explicit Shape Regression With Characteristic Number for Facial Landmark Localization", "addresses": [{"name": "Dalian University of Technology", "source_name": "Dalian University of Technology", "street_adddress": "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "lat": "38.88140235", "lng": "121.52281098", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8031352", "http://doi.org/10.1109/TMM.2017.2751143"]}]}
\ No newline at end of file diff --git a/site/datasets/citations/datasets.csv b/site/datasets/citations/datasets.csv index 1bccc807..5903495d 100644 --- a/site/datasets/citations/datasets.csv +++ b/site/datasets/citations/datasets.csv @@ -1,9 +1,29 @@ key,title,link,images,citations
+adience,Adience,,26580,179
+geofaces,GeoFaces,,248000,8
+h3d,H3D,,"(None,)",716
+helen,Helen,,2330,352
+ibm_dif,IBM Diversity in Faces,,"(None,)",0
+images_of_groups,Images of Groups,,5080,0
+leeds_sports_pose,Leeds Sports Pose,,2000,285
+leeds_sports_pose_extended,Leeds Sports Pose Extended,,10000,169
+lfpw,LFPW,,"(None,)",0
+mafa,MAsked FAces,,30811,5
+megaage,MegaAge,,41941,4
+megaface,MegaFace,,4753520,39
+moments_in_time,Moments in Time,,"(None,)",29
+pipa,PIPA,,37107,54
+stickmen_family,We Are Family Stickmen,,525,78
+tiny_faces,TinyFace,,169403,0
+ucf_crowd,UCF-CC-50,,50,148
+used,USED Social Event Dataset,,525000,7
+voc,VOC,,11530,999
+who_goes_there,WGT,,"(None,)",0
+yfcc_100m,YFCC100M,,99171688,274
3d_rma,3D-RMA,,"(None,)",100
3dddb_unconstrained,3D Dynamic,,"(None,)",2
3dpes,3DPeS,,1011,133
4dfab,4DFAB,,1835513,4
-adience,Adience,,26580,179
afad,AFAD,,164432,78
afew_va,AFEW-VA,,30000,18
affectnet,AffectNet,,100000,37
@@ -77,18 +97,14 @@ fpoq,50 People One Question,,"(None,)",16 frav3d,FRAV3D,,1696,14
frgc,FRGC,,50000,999
gallagher,Gallagher,,589,178
-geofaces,GeoFaces,,248000,8
georgia_tech_face_database,Georgia Tech Face,,"(None,)",67
gfw,Grouping Face in the Wild,,84200,2
graz,Graz Pedestrian,,1476,236
-h3d,H3D,,"(None,)",716
hda_plus,HDA+,,2976,16
-helen,Helen,,2330,352
hi4d_adsip,Hi4D-ADSIP,,3360,15
hipsterwars,Hipsterwars,,1893,95
hollywood_headset,HollywoodHeads,,224740,33
hrt_transgender,HRT Transgender,,10564,7
-ibm_dif,IBM Diversity in Faces,,"(None,)",0
ifad,IFAD,,3296,2
ifdb,IFDB,,3600,0
iit_dehli_ear,IIT Dehli Ear,,465,80
@@ -97,9 +113,8 @@ ijb_b,IJB-B,,11754,35 ijb_c,IJB-C,,21294,14
ilids_mcts,i-LIDS Multiple-Camera,,"(None,)",35
ilids_mcts_vid,iLIDS-VID,,43800,209
-images_of_groups,Images of Groups,,5080,0
imdb_face,IMDb Face,,"(None,)",6
-imdb_wiki,IMDB,,523051,145
+imdb_wiki,IMDB-Wiki,,523051,145
imfdb,IMFDB,,34512,17
immediacy,Immediacy,,10000,26
imsitu,imSitu,,126102,52
@@ -113,26 +128,19 @@ kitti,KITTI,,14999,999 lag,LAG,,3828,7
laofiw,LAOFIW,,"(None,)",2
large_scale_person_search,Large Scale Person Search,,18184,46
-leeds_sports_pose,Leeds Sports Pose,,2000,285
-leeds_sports_pose_extended,Leeds Sports Pose Extended,,10000,169
-lfpw,LFPW,,"(None,)",0
lfw,LFW,,13233,123
m2vts,m2vts,,185,73
m2vtsdb_extended,xm2vtsdb,,2360,864
-mafa,MAsked FAces,,30811,5
mafl,MAFL,,20000,407
malf,MALF,,5250,17
mapillary,Mapillary,,25000,61
market_1501,Market 1501,,32668,460
mars,MARS,,1191003,168
mcgill,McGill Real World,,18000,8
-megaage,MegaAge,,41941,4
-megaface,MegaFace,,4753520,39
mifs,MIFS,,642,6
mit_cbcl,MIT CBCL,,2000,0
miw,MIW,,154,49
mmi_facial_expression,MMI Facial Expression Dataset,,2900,464
-moments_in_time,Moments in Time,,"(None,)",29
morph,MORPH Commercial,,"(None,)",437
morph_nc,MORPH Non-Commercial,,55134,437
mot,MOT,,17757,632
@@ -157,7 +165,6 @@ penn_fudan,Penn Fudan,,170,105 peta,PETA,,"(None,)",88
pets,PETS 2017,,33264,9
pilot_parliament,PPB,,1270,59
-pipa,PIPA,,37107,54
pku_reid,PKU-Reid,,1824,4
precarious,Precarious,,951,14
prid,PRID,,24541,386
@@ -184,12 +191,10 @@ sports_videos_in_the_wild,SVW,,"(None,)",7 stair_actions,STAIR Action,,"(None,)",1
stanford_drone,Stanford Drone,,"(None,)",224
stickmen_buffy,Buffy Stickmen,,748,285
-stickmen_family,We Are Family Stickmen,,525,78
stickmen_pascal,Stickmen PASCAL,,549,369
sun_attributes,SUN,,16873,116
svs,SVS,,"(None,)",28
texas_3dfrd,Texas 3DFRD,,1149,91
-tiny_faces,TinyFace,,169403,0
tiny_images,Tiny Images,,7527697,999
tisi,Times Square Intersection,,"(None,)",29
tud_brussels,TUD-Brussels,,508,0
@@ -202,7 +207,6 @@ tud_stadtmitte,TUD-Stadtmitte,,170,311 tvhi,TVHI,,"(None,)",98
uccs,UCCS,,16149,6
ucf_101,UCF101,,"(None,)",999
-ucf_crowd,UCF-CC-50,,50,148
ucf_selfie,UCF Selfie,,46836,11
ufdd,UFDD,,6424,4
ufi,UFI,,"(None,)",12
@@ -210,7 +214,6 @@ umb,UMB,,1473,47 umd_faces,UMD,,367888,42
unbc_shoulder_pain,UNBC-McMaster Pain,,48398,189
urban_tribes,Urban Tribes,,340,18
-used,USED Social Event Dataset,,525000,7
v47,V47,,752,9
vadana,VADANA,,2298,15
vgg_celebs_in_places,CIP,,38000,5
@@ -220,10 +223,8 @@ violent_flows,Violent Flows,,"(None,)",88 viper,VIPeR,,1264,624
visual_phrases,Phrasal Recognition,,2769,246
vmu,VMU,,204,53
-voc,VOC,,11530,999
vqa,VQA,,204721,0
ward,WARD,,4786,60
-who_goes_there,WGT,,"(None,)",0
wider,WIDER,,50574,44
wider_attribute,WIDER Attribute,,13789,18
wider_face,WIDER FACE,,32203,178
@@ -231,9 +232,9 @@ wildtrack,WildTrack,,"(None,)",0 wlfdb,WLFDB,,714454,1
yale_faces,YaleFaces,,165,999
yawdd,YawDD,,"(None,)",15
-yfcc_100m,YFCC100M,,99171688,274
york_3d,UOY 3D Face Database,,5250,38
youtube_celebrities,YouTube Celebrities,,"(None,)",267
youtube_faces,YouTubeFaces,,"(None,)",509
youtube_makeup,YMU,,604,53
youtube_poses,YouTube Pose,,"(None,)",36
+voxceleb2,VoxCeleb2,,"(None,)",34
diff --git a/site/datasets/citations/fddb.json b/site/datasets/citations/fddb.json index be584e0b..76dd9df7 100644 --- a/site/datasets/citations/fddb.json +++ b/site/datasets/citations/fddb.json @@ -1 +1 @@ -{"id": "75da1df4ed319926c544eefe17ec8d720feef8c0", "paper": {"key": "fddb", "name": "FDDB", "title": "FDDB: A benchmark for face detection in unconstrained settings", "year": "2010", "addresses": []}, "citations": [{"id": "c88ce5ef33d5e544224ab50162d9883ff6429aa3", "title": "Face Match for Family Reunification: Real-World Face Image Retrieval", "addresses": [{"name": "Central Washington University", "source_name": "Central Washington University", "street_adddress": "Central Washington University, Dean Nicholson Boulevard, Ellensburg, Kittitas County, Washington, 98926, USA", "lat": "47.00646895", "lng": "-120.53673040", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c88c/e5ef33d5e544224ab50162d9883ff6429aa3.pdf"], "doi": []}, {"id": "f79e4ba09402adab54d2efadd1c4bfe4e20c5da5", "title": "A highly accurate facial region network for unconstrained face detection", "addresses": [{"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296364", "http://doi.org/10.1109/ICIP.2017.8296364"]}, {"id": "36b13627ee8a5a8cd04645213aabfa917bbd32f5", "title": "Edge-Aware Label Propagation for Mobile Facial Enhancement on the Cloud", "addresses": [{"name": "Baidu, Inc.", "source_name": "Baidu International Technology (Shenzhen) Company, Ltd., Shenzhen, China", "street_adddress": "Shenzhen, Guangdong, China", "lat": "22.54309600", "lng": "114.05786500", "type": "company", "country": "China"}, {"name": "South China University of Technology", "source_name": "South China University of Technology", "street_adddress": "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "lat": "23.05020420", "lng": "113.39880323", "type": "edu", "country": "China"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552466", "http://doi.org/10.1109/TCSVT.2016.2602812"]}, {"id": "5711400c59a162112c57e9f899147d457537f701", "title": "Recognizing and Segmenting Objects in the Presence of Occlusion and Clutter", "addresses": [{"name": "UC Irvine", "source_name": "UC Irvine", "street_adddress": "Irvine, CA 92697, USA", "lat": "33.64049520", "lng": "-117.84429620", "type": "edu", "country": "United States"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/5711/400c59a162112c57e9f899147d457537f701.pdf"], "doi": []}, {"id": "3cb057a24a8adba6fe964b5d461ba4e4af68af14", "title": "Perceptual Annotation: Measuring Human Vision to Improve Computer Vision", "addresses": [{"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "year": "2014", "pdf": ["http://samenglishanthony.com/papers/perceptual-annotation-tpami.pdf", "http://visionlab.harvard.edu/Members/Ken/Papers/183ScheirerAnthony2014.pdf", "http://visionlab.harvard.edu/members/ken/Papers/183ScheirerAnthony2014.pdf", "http://www.coxlab.org/pdfs/2014_scheirer_tpami.pdf", "http://www.wjscheirer.com/papers/wjs_tpami2014_perceptual.pdf", "http://www.wjscheirer.com/talks/scheirer_samsung_2014.pdf", "https://dash.harvard.edu/bitstream/handle/1/12111387/Scheirer_PerceptualAnnotation.pdf;jsessionid=EE9AEFD8AEA293881B90EEB3A313F267?sequence=1", "https://dash.harvard.edu/bitstream/handle/1/12111387/Scheirer_PerceptualAnnotation.pdf?sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6701391", "http://doi.org/10.1109/TPAMI.2013.2297711", "https://www.ncbi.nlm.nih.gov/pubmed/26353347", "https://www.wikidata.org/entity/Q40558073"]}, {"id": "11ac88aebe0230e743c7ea2c2a76b5d4acbfecd0", "title": "Hybrid Cascade Model for Face Detection in the Wild Based on Normalized Pixel Difference and a Deep Convolutional Neural Network", "addresses": [{"name": "University of Zagreb", "source_name": "University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia", "street_adddress": "Unska ul. 3, 10000, Zagreb, Croatia", "lat": "45.80112100", "lng": "15.97084090", "type": "edu", "country": "Croatia"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/11ac/88aebe0230e743c7ea2c2a76b5d4acbfecd0.pdf"], "doi": []}, {"id": "04661729f0ff6afe4b4d6223f18d0da1d479accf", "title": "From Facial Parts Responses to Face Detection: A Deep Learning Approach", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Shenzhen Institutes of Advanced Technology", "source_name": "Shenzhen Institutes of Advanced Technology", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "lat": "22.59805605", "lng": "113.98533784", "type": "edu", "country": "China"}], "year": "2015", "pdf": 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\ No newline at end of file diff --git a/site/datasets/verified/ucf_crowd.json b/site/datasets/verified/ucf_crowd.json index 0cdccec3..8b95e05a 100644 --- a/site/datasets/verified/ucf_crowd.json +++ b/site/datasets/verified/ucf_crowd.json @@ -1 +1 @@ -{"id": "32c801cb7fbeb742edfd94cccfca4934baec71da", "paper": {"key": "ucf_crowd", "name": "UCF-CC-50", "title": "Multi-source Multi-scale Counting in Extremely Dense Crowd Images", "year": "2013", "addresses": []}, "citations": []}
\ No newline at end of file +{"id": "32c801cb7fbeb742edfd94cccfca4934baec71da", "paper": {"key": "ucf_crowd", "name": "UCF-CC-50", "title": "Multi-source Multi-scale Counting in Extremely Dense Crowd Images", "year": "2013", "addresses": []}, "citations": [{"id": "dd056ecfdcc8ce89a550e56887f1df1a66f5cbff", "title": "Body Structure Aware Deep Crowd Counting", "addresses": [{"name": "Zhejiang University", "source_name": "Zhejiang University", "street_adddress": "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "lat": "30.19331415", "lng": "120.11930822", "type": "edu", "country": "China"}, {"name": "Northwestern Polytechnical University", "source_name": "Northwestern Polytechnical University", "street_adddress": "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "lat": "34.24691520", "lng": "108.91061982", "type": "edu", "country": "China"}, {"name": "Xiamen University", "source_name": "Xiamen University", "street_adddress": "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "lat": "24.43994190", "lng": "118.09301781", "type": "edu", "country": "China"}, {"name": "ShanghaiTech University", "source_name": "ShanghaiTech University", "street_adddress": "Yueyang Rd, Xuhui Qu, Shanghai Shi, China", "lat": "31.20254500", "lng": "121.45308600", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["http://mac.xmu.edu.cn/rrji/papers/IP%202018-Body.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8010465", "http://doi.org/10.1109/TIP.2017.2740160", "https://www.ncbi.nlm.nih.gov/pubmed/28816665", "https://www.wikidata.org/entity/Q38372031"]}, {"id": "1b21acf8daaf86c4f2228fa3f5e9aa38ab8ad30d", "title": "Cross-scene crowd counting via deep convolutional neural networks", "addresses": [{"name": "Shanghai Jiao Tong University", "source_name": "Shanghai Jiao Tong University", "street_adddress": "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "lat": "31.20081505", "lng": "121.42840681", "type": "edu", "country": "China"}, {"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "University of Electronic Science and Technology of China", "source_name": "University of Electronic Science and Technology of China", "street_adddress": "2 Jianshe North Rd 2nd Section, Jianshe Road, Chenghua Qu, Chengdu Shi, Sichuan Sheng, China, 610054", "lat": "30.67272100", "lng": "104.09880600", "type": "edu", "country": "China"}], "year": "2015", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_091.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_091_ext.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Zhang_Cross-Scene_Crowd_Counting_2015_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298684", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298684", "http://doi.org/10.1109/CVPR.2015.7298684"]}, {"id": "5b823d0bdcb2c5dddfb84b4f92353bc5aa8f2644", "title": "In Defense of Single-column Networks for Crowd Counting", "addresses": [{"name": "Beihang University", "source_name": "Beihang University", "street_adddress": "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "lat": "39.98083330", "lng": "116.34101249", "type": "edu", "country": "China"}, {"name": "Beijing, China", "source_name": "Beijing, China", "street_adddress": "Beijing, China", "lat": "39.90419990", "lng": "116.40739630", "type": "edu", "country": "China"}, {"name": "Duke University", "source_name": "Duke University", "street_adddress": "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "lat": "35.99905220", "lng": "-78.92906290", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.06133.pdf"], "doi": []}]}
\ No newline at end of file diff --git a/site/datasets/verified/voxceleb2.json b/site/datasets/verified/voxceleb2.json new file mode 100644 index 00000000..692577b9 --- /dev/null +++ b/site/datasets/verified/voxceleb2.json @@ -0,0 +1 @@ +{"id": "8875ae233bc074f5cd6c4ebba447b536a7e847a5", "paper": {"key": "voxceleb2", "name": "VoxCeleb2", "title": "VoxCeleb2: Deep Speaker Recognition.", "year": "2018", "addresses": []}, "citations": []}
\ No newline at end of file |
