18 files changed, 106 insertions, 105 deletions

diff --git a/site/datasets/citations/agedb.json b/site/datasets/citations/agedb.json
index a0634465..5fc705c8 100644
--- a/site/datasets/citations/agedb.json
+++ b/site/datasets/citations/agedb.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/site/datasets/citations/alert_airport.json b/site/datasets/citations/alert_airport.json
index b85827af..f61d2669 100644
--- a/site/datasets/citations/alert_airport.json
+++ b/site/datasets/citations/alert_airport.json
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/site/datasets/citations/casia_webface.json b/site/datasets/citations/casia_webface.json
index 44b3650d..6962075c 100644
--- a/site/datasets/citations/casia_webface.json
+++ b/site/datasets/citations/casia_webface.json
@@ -1 +1 @@
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diff --git a/site/datasets/citations/celeba.json b/site/datasets/citations/celeba.json
index 9df05adb..5023e855 100644
--- a/site/datasets/citations/celeba.json
+++ b/site/datasets/citations/celeba.json
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"lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03492.pdf"], "doi": []}, {"id": "c82a9763fb0b84eafa59a2733e944ca092f42087", "title": "Informative Features for Model Comparison", "addresses": [{"name": "Max Planck Institute for Intelligent Systems", "source_name": "Max Planck Institute for Intelligent Systems", "street_adddress": "Heisenbergstra\u00dfe 3, 70569 Stuttgart, Germany", "lat": "48.74689390", "lng": "9.08051410", "type": "edu", "country": "Germany"}, {"name": "Georgia Institute of Technology", "source_name": "Georgia Institute of Technology", "street_adddress": "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "lat": "33.77603300", "lng": "-84.39884086", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11630.pdf"], "doi": []}, {"id": "ff3a8474a77f9a69bc2c82e087f065d29d0f2114", "title": "Multi-scale face detection based on convolutional neural network", "addresses": [{"name": "Xiangtan University", "source_name": "Xiangtan University", "street_adddress": "\u6e58\u6f6d\u5927\u5b66\u56fe\u4e66\u9986, \u6587\u5316\u5e7f\u573a, \u7f8a\u726f\u5858\u8857\u9053, \u96e8\u6e56\u533a, \u6e58\u6f6d\u5e02 / Xiangtan, \u6e56\u5357\u7701, \u4e2d\u56fd", "lat": "27.88707585", "lng": "112.85710918", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8623411"]}, {"id": "862d17895fe822f7111e737cbcdd042ba04377e8", "title": "Semi-Latent GAN: Learning to generate and modify facial images from attributes", "addresses": [{"name": "Fudan University", "source_name": "Fudan University", "street_adddress": "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "lat": "31.30104395", "lng": "121.50045497", "type": "edu", "country": "China"}, {"name": "Disney Research", "source_name": "Disney Research", "street_adddress": "521 Circle 7 Dr, Glendale, CA 91201, USA", "lat": "34.15797420", "lng": "-118.28947290", "type": "company", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.02166.pdf"], "doi": []}, {"id": "8b2e3805b37c18618b74b243e7a6098018556559", "title": "ARIATIONAL A UTOENCODER WITH D EEP F EATURE C ONSISTENT AND G ENERATIVE A DVERSAR-IAL T RAINING", "addresses": [{"name": "University of Nottingham", "source_name": "University of Nottingham", "street_adddress": "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "lat": "52.93874280", "lng": "-1.20029569", "type": "edu", "country": "United Kingdom"}, {"name": "Shenzhen University", "source_name": "Shenzhen University", "street_adddress": "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "lat": "22.53521465", "lng": "113.93159110", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8b2e/3805b37c18618b74b243e7a6098018556559.pdf"], "doi": []}, {"id": "6f2b36cadf3dd1648b709e9b4f4c19ffa1939ed1", "title": "Striking the Right Balance with Uncertainty", "addresses": [{"name": "University of Canberra", "source_name": "University of Canberra", "street_adddress": "University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia", "lat": "-35.23656905", "lng": "149.08446994", "type": "edu", "country": "Australia"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07590.pdf"], "doi": []}, {"id": "1fd5d08394a3278ef0a89639e9bfec7cb482e0bf", "title": "Exploring Disentangled Feature Representation Beyond Face Identification", "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": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.03487.pdf"], "doi": []}, {"id": "20d17ffeb8adcbbe7cfe7b73cc998a1d20a91553", "title": "Unsupervised Class-Specific Deblurring", "addresses": [{"name": "Indian Institute of Technology Delhi", "source_name": "IIIT-Delhi, India", "street_adddress": "IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India", "lat": "28.54632595", "lng": "77.27325504", "type": "edu", "country": "India"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/20d1/7ffeb8adcbbe7cfe7b73cc998a1d20a91553.pdf"], "doi": []}, {"id": "42e898ca773dbd9e085ffa824c21d0bfda245345", "title": "LOTS about attacking deep features", "addresses": [{"name": "University of Colorado", "source_name": "University of Colorado, Boulder, CO, USA", "street_adddress": "Boulder, CO 80309, USA", "lat": "40.00758100", "lng": "-105.26594170", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.06179.pdf"], "doi": []}, {"id": "2f61d91033a06dd904ff9d1765d57e5b4d7f57a6", "title": "FCFD: Teach the machine to accomplish face detection step by step", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7532953", "http://doi.org/10.1109/ICIP.2016.7532953"]}, {"id": "353f8f0eaa81a5a34078024c72bb1c255237687a", "title": "Art2Real: Unfolding the Reality of Artworks via Semantically-Aware Image-to-Image Translation", "addresses": [{"name": "University of Modena and Reggio Emilia", "source_name": "University of Modena and Reggio Emilia 41125, Modena, Italy", "street_adddress": "Via Universit\u00e0, 4, 41121 Modena MO, Italy", "lat": "44.64510460", "lng": "10.92792680", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10666.pdf"], "doi": []}, {"id": "f6b9c16ff73e019ecf8fcae860b68bf3447254a6", "title": "D Firework Reconstruction from a Given Videos", "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"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f6b9/c16ff73e019ecf8fcae860b68bf3447254a6.pdf"], "doi": []}, {"id": "b8b2acc7e5bd94651c8bb025b6311c108c7a7d37", "title": "Iteratively Learning from the Best", "addresses": [{"name": "University of Texas at Austin", "source_name": "University of Texas at Austin", "street_adddress": "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "lat": "30.28415100", "lng": "-97.73195598", "type": "edu", "country": "United States"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11874.pdf"], "doi": []}, {"id": "b9c262838db89597a7f9c0cb937cb7d671ab4544", "title": "Accelerating Proposal Generation Network for Fast Face Detection on Mobile Devices", "addresses": [{"name": "Samsung Research America", "source_name": "Samsung Research America", "street_adddress": "665 Clyde Avenue, Mountain View, CA 94043, Mountain View, CA 94043, United States", "lat": "37.40197350", "lng": "-122.04778760", "type": "edu", "country": "United States"}, {"name": "University of Southern California", "source_name": "University of Southern California", "street_adddress": "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "lat": "34.02241490", "lng": "-118.28634407", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451737"]}, {"id": "192141c3ac8d7de2f1dbd9628bc4152a16e7d1c8", "title": "Are French Really That Different? Recognizing Europeans from Faces Using Data-Driven Learning", "addresses": [{"name": "University of Rochester", "source_name": "University of Rochester", "street_adddress": "Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA", "lat": "43.15769690", "lng": "-77.58829158", "type": "edu", "country": "United States"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545887"]}, {"id": "64eebdafe5614e7271207047ce28a9c596a4d6e6", "title": "Unsupervised Multi-Domain Image Translation with Domain-Specific Encoders/Decoders", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "lat": "32.05659570", "lng": "118.77408833", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8545169"]}]}
\ No newline at end of file
diff --git a/site/datasets/citations/datasets.csv b/site/datasets/citations/datasets.csv
index d10feefe..8e4e62e2 100644
--- a/site/datasets/citations/datasets.csv
+++ b/site/datasets/citations/datasets.csv
@@ -1,5 +1,17 @@
 key,title,link,images,citations

-v47,V47,,752,9

+cuhk_campus_03,CUHK03 Campus,,13164,280

+duke_mtmc,Duke MTMC,,2000000,169

+market_1501,Market 1501,,32668,460

+mars,MARS,,1191003,168

+msmt_17,MSMT17,,126441,24

+penn_fudan,Penn Fudan,,170,105

+pku_reid,PKU-Reid,,1824,4

+uccs,UCCS,,16149,6

+wildtrack,WildTrack,,"(None,)",0

+3d_rma,3D-RMA,,"(None,)",100

+3dddb_unconstrained,3D Dynamic,,"(None,)",2

+3dpes,3DPeS,,1011,133

+4dfab,4DFAB,,1835513,4

 50_people_one_question,50 People One Question,,"(None,)",16

 adience,Adience,,26580,179

 afad,AFAD,,164432,78

@@ -9,67 +21,50 @@ aflw,AFLW,,21997,318
 afw,AFW,,205,999

 agedb,AgeDB,,16488,18

 alert_airport,ALERT Airport,,39902,20

+am_fed,AM-FED,,"(None,)",83

+apis,APiS1.0,,3661,28

+appa_real,APPA-REAL,,7591,10

 ar_facedb,AR Face,,4000,999

+awe_ears,AWE Ears,,1000,26

 b3d_ac,B3D(AC),,"(None,)",42

+bbc_pose,BBC Pose,,"(None,)",26

 bfm,BFM,,"(None,)",343

 bio_id,BioID Face,,1521,511

-cas_peal,CAS-PEAL,,99594,429

-cfd,CFD,,"(None,)",99

-chokepoint,ChokePoint,,64204,138

-cmdp,CMDP,,583,9

-cmu_pie,CMU PIE,,41368,760

-cohn_kanade,CK,,486,999

-cohn_kanade_plus,CK+,,593,999

-columbia_gaze,Columbia Gaze,,5880,79

-facebook_100,Facebook100,,100,52

-fei,FEI,,2800,169

-feret,FERET,,14126,115

-frav3d,FRAV3D,,1696,14

-ifdb,IFDB,,3600,0

-iit_dehli_ear,IIT Dehli Ear,,465,80

-jaffe,JAFFE,,213,899

-jpl_pose,JPL-Interaction dataset,,"(None,)",148

-m2vtsdb_extended,xm2vtsdb,,2360,864

-mmi_facial_expression,MMI Facial Expression Dataset,,2900,464

-mug_faces,MUG Faces,,1222,82

-multi_pie,MULTIPIE,,750000,760

-orl,ORL,,400,999

-pets,PETS 2017,,33264,9

-put_face,Put Face,,9971,99

-rafd,RaFD,,536,487

-sarc3d,Sarc3D,,200,34

-scface,SCface,,4160,179

-soton,SOTON HiD,,"(None,)",150

-texas_3dfrd,Texas 3DFRD,,1149,91

-umb,UMB,,1473,47

-unbc_shoulder_pain,UNBC-McMaster Pain,,48398,189

-yale_faces,YaleFaces,,165,999

-yawdd,YawDD,,"(None,)",15

-york_3d,UOY 3D Face Database,,5250,38

-3d_rma,3D-RMA,,"(None,)",100

-3dddb_unconstrained,3D Dynamic,,"(None,)",2

-3dpes,3DPeS,,1011,133

-4dfab,4DFAB,,1835513,4

-apis,APiS1.0,,3661,28

-awe_ears,AWE Ears,,1000,26

-bbc_pose,BBC Pose,,"(None,)",26

+bosphorus,The Bosphorus,,3545,352

+bp4d_plus,BP4D+,,196000000,42

+bp4d_spontanous,BP4D-Spontanous,,"(None,)",154

 bpad,BPAD,,8035,230

-brainwash,Brainwash,,11918,42

+brainwash,Brainwash,,11917,42

+bu_3dfe,BU-3DFE,,10000,588

 caltech_10k_web_faces,Caltech 10K Web Faces,,7092,63

+caltech_crp,Caltech CRP,,"(None,)",17

+caltech_pedestrians,Caltech Pedestrians,,250000,0

+cas_peal,CAS-PEAL,,99594,429

 casablanca,Casablanca,,1466,33

 casia_webface,CASIA Webface,,494414,476

 celeba,CelebA,,202599,919

+cfd,CFD,,"(None,)",99

+chalearn,ChaLearn,,"(None,)",13

+chokepoint,ChokePoint,,64204,138

 clothing_co_parsing,CCP,,2098,60

+cmdp,CMDP,,583,9

+cmu_pie,CMU PIE,,41368,760

 coco,COCO,,328000,999

 coco_action,COCO-a,,10000,25

 coco_qa,COCO QA,,123287,206

 cofw,COFW,,1007,325

+cohn_kanade,CK,,486,999

+cohn_kanade_plus,CK+,,593,999

+columbia_gaze,Columbia Gaze,,5880,79

 complex_activities,Ongoing Complex Activities,,"(None,)",3

-cuhk_campus_03,CUHK03 Campus,,13164,280

+cuhk_train_station,CUHK Train Station Dataset,,"(None,)",141

 cvc_01_barcelona,CVC-01,,6000,47

+d3dfacs,D3DFACS,,46710,50

+dartmouth_children,Dartmouth Children,,"(None,)",21

 data_61,Data61 Pedestrian,,50000,8

 deep_fashion,DeepFashion,,800000,176

-duke_mtmc,Duke MTMC,,2000000,169

+disfa,DISFA,,130815,184

+distance_nighttime,Long Distance Heterogeneous Face,,"(None,)",22

 emotio_net,EmotioNet Database,,100000,86

 erce,ERCe,,"(None,)",29

 eth_andreas_ess,ETHZ Pedestrian,,2293,324

@@ -77,19 +72,33 @@ europersons,EuroCity Persons,,47300,2
 expw,ExpW,,8306,11

 face_scrub,FaceScrub,,106863,138

 face_tracer,FaceTracer,,"(None,)",225

+facebook_100,Facebook100,,100,52

+faceplace,Face Place,,"(None,)",29

 families_in_the_wild,FIW,,11193,5

 fddb,FDDB,,2845,380

+fei,FEI,,2800,169

+feret,FERET,,14126,115

 ferplus,FER+,,35887,34

+fia,CMU FiA,,"(None,)",54

 fiw_300,300-W,,600,184

+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

 ijb_a,IJB-A,,24327,237

 ijb_b,IJB-B,,11754,35

 ijb_c,IJB-C,,21294,14

@@ -102,8 +111,11 @@ imfdb,IMFDB,,34512,17
 immediacy,Immediacy,,10000,26

 imsitu,imSitu,,126102,52

 inria_person,INRIA Pedestrian,,1805,999

+jaffe,JAFFE,,213,899

 jiku_mobile,Jiku Mobile Video Dataset,,"(None,)",24

+jpl_pose,JPL-Interaction dataset,,"(None,)",148

 kin_face,UB KinFace,,600,94

+kinectface,KinectFaceDB,,"(None,)",82

 kitti,KITTI,,14999,999

 lag,LAG,,3828,7

 laofiw,LAOFIW,,"(None,)",2

@@ -112,44 +124,64 @@ leeds_sports_pose,Leeds Sports Pose,,2000,285
 leeds_sports_pose_extended,Leeds Sports Pose Extended,,10000,169

 lfpw,LFWP,,"(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

+mpi_large,Large MPI Facial Expression,,"(None,)",33

+mpi_small,Small MPI Facial Expression,,12595,33

 mpii_gaze,MPIIGaze,,213659,149

 mpii_human_pose,MPII Human Pose,,1021720,387

+mr2,MR2,,74,7

 mrp_drone,MRP Drone,,"(None,)",7

 msceleb,MsCeleb,,1000000,180

-msmt_17,MSMT17,,126441,24

 mtfl,MTFL,,12995,407

+mug_faces,MUG Faces,,1222,82

+multi_pie,MULTIPIE,,750000,760

 names_and_faces,News Dataset,,30281,0

-penn_fudan,Penn Fudan,,170,105

+nd_2006,ND-2006,,13450,35

+nova_emotions,Novaemötions Dataset,,42911,9

+orl,ORL,,400,999

+oxford_town_centre,TownCentre,,"(None,)",328

+pa_100k,PA-100K,,"(None,)",55

 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

 prw,PRW,,11816,77

 psu,PSU,,"(None,)",168

 pubfig,PubFig,,58797,914

 pubfig_83,pubfig83,,8300,52

+put_face,Put Face,,9971,99

 qmul_grid,GRID,,1275,84

 qmul_surv_face,QMUL-SurvFace,,463507,1

+rafd,RaFD,,536,487

 raid,RAiD,,6920,49

+rap_pedestrian,RAP,,"(None,)",26

 reseed,ReSEED,,430000,6

 saivt,SAIVT SoftBio,,64472,65

+sarc3d,Sarc3D,,200,34

+scface,SCface,,4160,179

+scut_fbp,SCUT-FBP,,"(None,)",19

 scut_head,SCUT HEAD,,4405,0

 sdu_vid,SDU-VID,,"(None,)",95

 social_relation,Social Relation,,8306,23

+soton,SOTON HiD,,"(None,)",150

 sports_videos_in_the_wild,SVW,,"(None,)",7

 stair_actions,STAIR Action,,"(None,)",1

 stanford_drone,Stanford Drone,,"(None,)",224

@@ -158,10 +190,10 @@ 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

-town_centre,TownCentre,,"(None,)",328

 tud_brussels,TUD-Brussels,,508,0

 tud_campus,TUD-Campus,,71,545

 tud_crossing,TUD-Crossing,,201,545

@@ -170,15 +202,17 @@ tud_multiview,TUD-Multiview,,1982,311
 tud_pedestrian,TUD-Pedestrian,,250,545

 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

+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

 vgg_faces,VGG Face,,982803,999

@@ -189,51 +223,17 @@ 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,,2106468,0

 wider,WIDER,,50574,44

 wider_attribute,WIDER Attribute,,13789,18

 wider_face,WIDER FACE,,32203,178

-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

-am_fed,AM-FED,,"(None,)",83

-appa_real,APPA-REAL,,7591,10

-bosphorus,The Bosphorus,,3545,352

-bp4d_plus,BP4D+,,196000000,42

-bp4d_spontanous,BP4D-Spontanous,,"(None,)",154

-bu_3dfe,BU-3DFE,,10000,588

-caltech_crp,Caltech CRP,,"(None,)",17

-caltech_pedestrians,Caltech Pedestrians,,250000,0

-chalearn,ChaLearn,,"(None,)",13

-cuhk_train_station,CUHK Train Station Dataset,,"(None,)",141

-d3dfacs,D3DFACS,,46710,50

-dartmouth_children,Dartmouth Children,,"(None,)",21

-disfa,DISFA,,130815,184

-distance_nighttime,Long Distance Heterogeneous Face,,"(None,)",22

-faceplace,Face Place,,"(None,)",29

-fia,CMU FiA,,"(None,)",54

-frgc,FRGC,,50000,999

-gallagher,Gallagher,,589,178

-georgia_tech_face_database,Georgia Tech Face,,"(None,)",67

-h3d,H3D,,"(None,)",716

-hda_plus,HDA+,,2976,16

-hi4d_adsip,Hi4D-ADSIP,,3360,15

-kinectface,KinectFaceDB,,"(None,)",82

-m2vts,m2vts,,185,73

-mcgill,McGill Real World,,18000,8

-mit_cbcl,MIT CBCL,,2000,0

-morph,MORPH Commercial,,"(None,)",437

-morph_nc,MORPH Non-Commercial,,55134,437

-mpi_large,Large MPI Facial Expression,,"(None,)",33

-mpi_small,Small MPI Facial Expression,,12595,33

-mr2,MR2,,74,7

-nd_2006,ND-2006,,13450,35

-nova_emotions,Novaemötions Dataset,,42911,9

-pa_100k,PA-100K,,"(None,)",55

-rap_pedestrian,RAP,,"(None,)",26

-scut_fbp,SCUT-FBP,,"(None,)",19

-ward,WARD,,4786,60

diff --git a/site/datasets/citations/face_scrub.json b/site/datasets/citations/face_scrub.json
index 497e3b58..042bea37 100644
--- a/site/datasets/citations/face_scrub.json
+++ b/site/datasets/citations/face_scrub.json
@@ -1 +1 @@
-{"id": "0d3bb75852098b25d90f31d2f48fd0cb4944702b", "paper": {"key": "face_scrub", "name": "FaceScrub", "title": "A data-driven approach to cleaning large face datasets", "year": "2014", "addresses": []}, "citations": [{"id": "8efda5708bbcf658d4f567e3866e3549fe045bbb", "title": "Pre-trained Deep Convolutional Neural Networks for Face Recognition", "addresses": [{"name": "University of Groningen", "source_name": "University of Groningen", "street_adddress": "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "lat": "53.21967825", "lng": "6.56251482", "type": "edu", "country": "Netherlands"}], "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8efd/a5708bbcf658d4f567e3866e3549fe045bbb.pdf"], "doi": []}, {"id": "24e82eaf3257e761d6ca0ffcc2cbca30dfca82e9", "title": "An analysis of the robustness of deep face recognition networks to noisy training labels", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}, {"name": "West Virginia University", "source_name": "West Virginia University", "street_adddress": "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "lat": "39.65404635", "lng": "-79.96475355", "type": "edu", "country": "United States"}], "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7906030", "http://doi.org/10.1109/GlobalSIP.2016.7906030"]}, {"id": "1345fb7700389f9d02f203b3cb25ac3594855054", "title": "Hierarchical Training for Large Scale Face Recognition with Few Samples Per Subject", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8451561", "http://doi.org/10.1109/ICIP.2018.8451561"]}, {"id": "be4faea0971ef74096ec9800750648b7601dda65", "title": "Feature Analysis of Unsupervised Learning for Multi-task Classification Using Convolutional Neural Network", "addresses": [{"name": "Kyungpook National University", "source_name": "Kyungpook National University, Taegu, Korea", "street_adddress": "80 Daehak-ro, Sangyeok 3(sam)-dong, Buk-gu, Daegu, South Korea", "lat": "35.88883600", "lng": "128.61029970", "type": "edu", "country": "South Korea"}], "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1007/s11063-017-9724-1", "https://doi.org/10.1007/s11063-017-9724-1"]}, {"id": "746c0205fdf191a737df7af000eaec9409ede73f", "title": "Investigating Nuisances in DCNN-Based Face Recognition", "addresses": [{"name": "University of Pavia", "source_name": "Computer and Biomedical Engineering, University of Pavia, Pavia, Italy", "street_adddress": "Corso Str. Nuova, 65, 27100 Pavia PV, Italy", "lat": "45.18671560", "lng": "9.15610410", "type": "edu", "country": "Italy"}, {"name": "University of Florence", "source_name": "University of Florence", "street_adddress": "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "lat": "43.77764260", "lng": "11.25976500", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8423119", "http://doi.org/10.1109/TIP.2018.2861359", "https://doi.org/10.1109/TIP.2018.2861359", "https://www.ncbi.nlm.nih.gov/pubmed/30059306"]}, {"id": "884fc5bf16841f8fe234abd7f3056206e5c4cdf2", "title": "Real-time Video Summarization on Commodity Hardware", "addresses": [{"name": "University of Ontario Institute of Technology", "source_name": "University of Ontario Institute of Technology, Simcoe St N, Canada", "street_adddress": "2000 Simcoe St N, Oshawa, ON L1G 0C5, Canada", "lat": "43.94587180", "lng": "-78.89673750", "type": "edu", "country": "Canada"}], "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.09287.pdf"], "doi": []}, {"id": "acd4280453b995cb071c33f7c9db5760432f4279", "title": "Deep transformation learning for face recognition in the unconstrained scene", "addresses": [{"name": "Chongqing University", "source_name": "Chongqing University", "street_adddress": "\u91cd\u5e86\u5de5\u5546\u5927\u5b66, 19, \u7fe0\u6797\u8def, \u91cd\u5e86\u5e02, \u91cd\u5e86\u5e02\u4e2d\u5fc3, \u5357\u5cb8\u533a (Nan'an), \u91cd\u5e86\u5e02, 400067, \u4e2d\u56fd", "lat": "29.50841740", "lng": "106.57858552", "type": "edu", "country": "China"}], "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1007/s00138-018-0907-1"]}, {"id": "2306b2a8fba28539306052764a77a0d0f5d1236a", "title": "Surveillance Face Recognition Challenge", "addresses": [{"name": "Queen Mary University of London", "source_name": "Queen Mary University of London", "street_adddress": "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "lat": "51.52472720", "lng": "-0.03931035", "type": "edu", "country": "United Kingdom"}, {"name": "Vision Semantics Ltd, UK", "source_name": "Vision Semantics Ltd, UK", "street_adddress": "United Kingdom", "lat": "55.37805100", "lng": "-3.43597300", "type": "edu", "country": "United Kingdom"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.09691.pdf"], "doi": []}, {"id": "94f74c6314ffd02db581e8e887b5fd81ce288dbf", "title": "A Light CNN for Deep Face Representation With Noisy Labels", "addresses": [{"name": "Chinese Academy of Sciences", "source_name": "Chinese Academy of Sciences", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "lat": "40.00447950", "lng": "116.37023800", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1511.02683.pdf"], "doi": []}, {"id": "587c48ec417be8b0334fa39075b3bfd66cc29dbe", "title": "Serial Dependence in the perception of attractiveness.", "addresses": [{"name": "University of California", "source_name": "University of California", "street_adddress": "Berkeley, CA, USA", "lat": "37.87189920", "lng": "-122.25853990", "type": "edu", "country": "United States"}], "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/587c/48ec417be8b0334fa39075b3bfd66cc29dbe.pdf"], "doi": []}, {"id": "a8035ca71af8cc68b3e0ac9190a89fed50c92332", "title": "IIIT-CFW: A Benchmark Database of Cartoon Faces in the Wild", "addresses": [{"name": "Indian Institute of Technology Sri City", "source_name": "IIIT Chittoor, Sri City, India", "street_adddress": "630 Gnan Marg, Sri City, Andhra Pradesh 517646, India", "lat": "13.55681710", "lng": "80.02612830", "type": "edu", "country": "India"}, {"name": "CVIT, KCIS, IIIT Hyderabad, India", "source_name": "CVIT, KCIS, IIIT Hyderabad, India", "street_adddress": "IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India", "lat": "17.44509810", "lng": "78.34976780", "type": "edu", "country": "India"}], "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a803/5ca71af8cc68b3e0ac9190a89fed50c92332.pdf"], "doi": []}, {"id": "3dfb822e16328e0f98a47209d7ecd242e4211f82", "title": "Cross-Age LFW: A Database for Studying Cross-Age Face Recognition in Unconstrained Environments", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.08197.pdf"], "doi": []}, {"id": "e7906370eae8655fb69844ae1a3d986c9f37c902", "title": "Face recognition using Deep Learning", "addresses": [{"name": "Polytechnic University of Catalonia", "source_name": "Polytechnic University of Catalonia, Vilanova i la Geltr\u00fa, Spain", "street_adddress": "Av. de V\u00edctor Balaguer, 1, 08800 Vilanova i la Geltr\u00fa, Barcelona, Spain", "lat": "41.22141650", "lng": "1.72974420", "type": "edu", "country": "Spain"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e790/6370eae8655fb69844ae1a3d986c9f37c902.pdf"], "doi": []}, {"id": "4d16337cc0431cd43043dfef839ce5f0717c3483", "title": "A Scalable and Privacy-Aware IoT Service for Live Video Analytics", "addresses": [{"name": "Carnegie Mellon University Silicon Valley", "source_name": "CARNEGIE MELLON UNIVERSITY", "street_adddress": "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "lat": "37.41021930", "lng": "-122.05965487", "type": "edu", "country": "United States"}, {"name": "Intel Labs", "source_name": "Intel Labs", "street_adddress": "4720 Forbes Ave, Pittsburgh, PA 15213, 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diff --git a/site/datasets/citations/ijb_a.json b/site/datasets/citations/ijb_a.json
index 98793974..42b0dfa2 100644
--- a/site/datasets/citations/ijb_a.json
+++ b/site/datasets/citations/ijb_a.json
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diff --git a/site/datasets/citations/ijb_b.json b/site/datasets/citations/ijb_b.json
index db94fda3..2f90dac8 100644
--- a/site/datasets/citations/ijb_b.json
+++ b/site/datasets/citations/ijb_b.json
@@ -1 +1 @@
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diff --git a/site/datasets/citations/ijb_c.json b/site/datasets/citations/ijb_c.json
index cde7a34c..4bc69b74 100644
--- a/site/datasets/citations/ijb_c.json
+++ b/site/datasets/citations/ijb_c.json
@@ -1 +1 @@
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diff --git a/site/datasets/citations/lfw.json b/site/datasets/citations/lfw.json
index 528f6117..5da0fcf9 100644
--- a/site/datasets/citations/lfw.json
+++ b/site/datasets/citations/lfw.json
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diff --git a/site/datasets/citations/megaface.json b/site/datasets/citations/megaface.json
index 609f4437..5ae80f89 100644
--- a/site/datasets/citations/megaface.json
+++ b/site/datasets/citations/megaface.json
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diff --git a/site/datasets/citations/msceleb.json b/site/datasets/citations/msceleb.json
index a16da8a0..3d8e33d6 100644
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+++ b/site/datasets/citations/msceleb.json
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@@ -0,0 +1 @@
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diff --git a/site/datasets/citations/umd_faces.json b/site/datasets/citations/umd_faces.json
index 125ecac1..7069820c 100644
--- a/site/datasets/citations/umd_faces.json
+++ b/site/datasets/citations/umd_faces.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/site/datasets/citations/vgg_faces.json b/site/datasets/citations/vgg_faces.json
index b0004339..df79c2e7 100644
--- a/site/datasets/citations/vgg_faces.json
+++ b/site/datasets/citations/vgg_faces.json
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diff --git a/site/datasets/citations/vgg_faces2.json b/site/datasets/citations/vgg_faces2.json
index ec526761..27c21805 100644
--- a/site/datasets/citations/vgg_faces2.json
+++ b/site/datasets/citations/vgg_faces2.json
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diff --git a/site/datasets/citations/yale_faces.json b/site/datasets/citations/yale_faces.json
index e5ee5811..4debc7be 100644
--- a/site/datasets/citations/yale_faces.json
+++ b/site/datasets/citations/yale_faces.json
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diff --git a/site/datasets/citations/youtube_faces.json b/site/datasets/citations/youtube_faces.json
index 8d57a934..1488b5dc 100644
--- a/site/datasets/citations/youtube_faces.json
+++ b/site/datasets/citations/youtube_faces.json
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