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Diffstat (limited to 'site')
| -rw-r--r-- | site/datasets/citations/22f656d0f8426c84a33a267977f511f127bfd7f3.json | 2 | ||||
| -rw-r--r-- | site/datasets/citations/27a2fad58dd8727e280f97036e0d2bc55ef5424c.json | 2 | ||||
| -rw-r--r-- | site/datasets/citations/37d6f0eb074d207b53885bd2eb78ccc8a04be597.json | 2 | ||||
| -rw-r--r-- | site/datasets/citations/4b1d23d17476fcf78f4cbadf69fb130b1aa627c0.json | 2 | ||||
| -rw-r--r-- | site/datasets/citations/datasets.csv | 241 | ||||
| -rw-r--r-- | site/public/index.html | 2 | ||||
| -rw-r--r-- | site/public/test/citations/index.html | 1 | ||||
| -rw-r--r-- | site/public/test/csv/index.html | 2 | ||||
| -rw-r--r-- | site/public/test/datasets/index.html | 3 | ||||
| -rw-r--r-- | site/public/test/face_search/index.html | 1 | ||||
| -rw-r--r-- | site/public/test/gallery/index.html | 1 | ||||
| -rw-r--r-- | site/public/test/map/index.html | 4 | ||||
| -rw-r--r-- | site/public/test/name_search/index.html | 4 | ||||
| -rw-r--r-- | site/public/test/style/index.html | 1 |
14 files changed, 259 insertions, 9 deletions
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null, "citations": [["Learning Discriminative Features with Multiple Granularities for Person Re-Identification", "", "Shanghai Jiao Tong University", "Shanghai Jiao Tong University", "\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", "31.20081505", "121.42840681", "edu", ""], ["Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification", "", "Duke University", "Duke University", "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "35.99905220", "-78.92906290", "edu", ""], ["The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking", "", "University of Texas at San Antonio", "University of Texas at San Antonio", "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "29.58333105", "-98.61944505", "edu", ""], ["Semantically Selective Augmentation for Deep Compact Person Re-Identification", "", "University of Bristol", "University of Bristol", "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "51.45848370", "-2.60977520", "edu", ""], ["The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching", "", "University of Edinburgh", "University of Edinburgh", "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "55.94951105", "-3.19534913", "edu", ""], ["Discriminative Feature Representation for Person Re-identification by Batch-contrastive Loss", "", "East China Normal University", "East China Normal University", "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "31.22849230", "121.40211389", "edu", ""], ["Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification", "", "University of Technology Sydney", "University of Technology Sydney", "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "-33.88096510", "151.20107299", "edu", ""], ["Person Re-identification with Deep Similarity-Guided Graph Neural Network", "", "Chinese University of Hong Kong", "The Chinese University of Hong Kong", "\u4e2d\u5927 CUHK, NA\u68af New Asia Stairs, \u99ac\u6599\u6c34 Ma Liu Shui, \u4e5d\u809a\u6751 Kau To Village, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1191, \u4e2d\u56fd", "22.42031295", "114.20788644", "edu", ""], ["Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset", "", "Jiangnan University", "Jiangnan University", "\u6c5f\u5357\u5927\u5b66\u7ad9, \u8821\u6e56\u5927\u9053, \u6ee8\u6e56\u533a, \u5357\u573a\u6751, 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Sydney, NSW, 2007, Australia", "-33.88096510", "151.20107299", "edu", ""], ["Multi-object Tracking with Neural Gating Using Bilinear LSTM", "", "Oregon State University", "Oregon State University", "OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA", "45.51982890", "-122.67797964", "edu", ""], ["MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification", "", "University of Wollongong", "University of Wollongong", "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "-34.40505545", "150.87834655", "edu", ""], ["Let Features Decide for Themselves: Feature Mask Network for Person Re-identification", "", "Nanjing University", "Nanjing University", "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "32.05659570", "118.77408833", "edu", ""], ["Exploit the Unknown Gradually : One-Shot Video-Based Person Re-Identification by Stepwise Learning", "", "University of Sydney", "University of Sydney", "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "-33.88890695", "151.18943366", "edu", ""], ["Person Re-identification by Mid-level Attribute and Part-based Identity Learning", "", "East China Normal University", "East China Normal University", "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "31.22849230", "121.40211389", "edu", ""], ["NCA-Net for Tracking Multiple Objects across Multiple Cameras", "", "Huazhong University of Science and Technology", "Huazhong University of Science and Technology", "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, 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E1 4NS, UK", "51.52472720", "-0.03931035", "edu", ""], ["Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects", "", "University of Oxford", "University of Oxford", "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "51.75345380", "-1.25400997", "edu", ""], ["Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models", "", "University of Campinas", "University of Campinas", "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "-27.59539950", "-48.61542180", "edu", ""], ["SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification", "", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, 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"University of Science and Technology of China", "University of Science and Technology of China", "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "31.83907195", "117.26420748", "edu", ""], ["Scaling Video Analytics Systems to Large Camera Deployments", "", "Microsoft Research Asia", "Microsoft Live Labs Research, China", "Microsoft Research Asia", "35.86166000", "104.19539700", "company", ""], ["Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro", "", "University of Technology Sydney", "University of Technology Sydney", "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "-33.88096510", "151.20107299", "edu", ""], ["ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Enterprise Scale", "", 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"edu", ""], ["Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models", "", "University of Campinas", "University of Campinas", "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "-27.59539950", "-48.61542180", "edu", ""], ["SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification", "", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", ""], ["Improving Person Re-identification by Attribute and Identity Learning", "University of Technology Sydney", "University of Technology Sydney", "University of Technology Sydney", "University of 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Individuating Multiple Close People and Their Body Parts via Region Assembly", "", "University of Texas at Austin", "University of Texas at Austin", "University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA", "30.28415100", "-97.73195598", "edu", ""], ["Parsing occluded people by flexible compositions", "University of California, Los Angeles", "University of California, Los Angeles", "University of California, Los Angeles", "200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA", "34.06877880", "-118.44500940", "edu", ""], ["Multi-context Attention for Human Pose Estimation", "", "Tsinghua University", "Tsinghua University", "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "40.00229045", "116.32098908", "edu", ""], ["Theory and Practice of Globally Optimal Deformation Estimation", "", "Microsoft Research Asia", "Microsoft Live Labs Research, China", "Microsoft Research Asia", "35.86166000", "104.19539700", "company", ""], ["Learning a sequential search for landmarks", "", "University of Illinois, Urbana-Champaign", "University of Illinois, Urbana-Champaign", "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "40.11116745", "-88.22587665", "edu", ""], ["Human Pose Estimation Using Global and Local Normalization", "", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", ""], ["Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields", "", "Carnegie Mellon University", "Carnegie Mellon University", "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "37.41021930", "-122.05965487", "edu", ""], ["Real-time Human Pose Estimation from Video with Convolutional Neural Networks", "", "Aalto University", "Aalto University", "Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etel\u00e4-Suomi, Manner-Suomi, 02150, Suomi", "60.18558755", "24.82427330", "edu", ""], ["MultiPoseNet: Fast Multi-Person Pose Estimation Using Pose Residual Network", "", "Middle East Technical University", "Middle East Technical University", "ODT\u00dc, 1, 1591.sk(315.sk), \u00c7i\u011fdem Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "39.87549675", "32.78553506", "edu", ""], ["Articulated Pose Estimation Using Discriminative Armlet Classifiers", "", "Facebook", "Facebook", "250 Bryant St, Mountain View, CA 94041, USA", "37.39367170", "-122.08072620", "company", "Facebook, Mountain View, CA"], ["Human Context: Modeling Human-Human Interactions for Monocular 3D Pose Estimation", "", "Max Planck Institute for Informatics", "Max Planck Institute for Informatics", "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "49.25795660", "7.04577417", "edu", ""], ["Human Pose Estimation : Extension and Application", "International Institute of Information Technology", "International Institute of Information Technology", "International Institute of Information Technology", "International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India", "17.44549570", "78.34854698", "edu", ""], ["EXTRACTING THE X FACTOR IN HUMAN PARSING 3 Factored module Factored task Aggregation module Input Main task Shared features Silhouette Body parts The X Factor bottleneck layers bottleneck layers bottleneck layers Initial module bottleneck layers initial block", "", "University of Cambridge", "University of Cambridge", "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "52.17638955", "0.14308882", "edu", ""], ["User qualified ? N Feedback Pass ? Pass ? Annotator training Annotating images", "", "University of Edinburgh", "University of Edinburgh", "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "55.94951105", "-3.19534913", "edu", ""], ["Deep Multitask Architecture for Integrated 2D and 3D Human Sensing", "", "Lund University", "Lund University", "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "55.70395710", "13.19020110", "edu", ""], ["ConvNets with Smooth Adaptive Activation Functions for Regression", "Stony Brook University Hospital", "Stony Brook University Hospital", "Stony Brook University Hospital", "Stony Brook University Hospital, 101, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "40.90826665", "-73.11520891", "edu", ""], ["Self Adversarial Training for Human Pose Estimation", "", "National Tsing Hua University", "National Tsing Hua University", "\u570b\u7acb\u6e05\u83ef\u5927\u5b78, 101, \u514b\u606d\u6a4b, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30013, \u81fa\u7063", "24.79254840", "120.99511830", "edu", ""], ["Joint Attention in Driver-Pedestrian Interaction: from Theory to Practice", "York University, Toronto, ON, Canada", "York University", "York University", "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "43.77439110", "-79.50481085", "edu", ""], ["End-to-End Learning of Deformable Mixture of Parts and Deep Convolutional Neural Networks for Human Pose Estimation", "", "Chinese University of Hong Kong", "The Chinese University of Hong Kong", "\u4e2d\u5927 CUHK, NA\u68af New Asia Stairs, \u99ac\u6599\u6c34 Ma Liu Shui, \u4e5d\u809a\u6751 Kau To Village, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1191, \u4e2d\u56fd", "22.42031295", "114.20788644", "edu", ""], ["CRF-CNN: Modeling Structured Information in Human Pose Estimation", "", "Chinese University of Hong Kong", "The Chinese University of Hong Kong", "\u4e2d\u5927 CUHK, NA\u68af New Asia Stairs, \u99ac\u6599\u6c34 Ma Liu Shui, \u4e5d\u809a\u6751 Kau To Village, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1191, \u4e2d\u56fd", "22.42031295", "114.20788644", "edu", ""], ["A Complete View Depended Volleyball Video Dataset under the Uncontrolled Conditions", "", "Islamic Azad University", "Islamic Azad University", "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0622\u0632\u0627\u062f \u0627\u0633\u0644\u0627\u0645\u06cc, \u0647\u0645\u062f\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "34.84529990", "48.55962120", "edu", ""], ["Real-time Factored ConvNets: Extracting the X Factor in Human Parsing", "", "University of Cambridge", "University of Cambridge", "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "52.17638955", "0.14308882", "edu", ""], ["Modeling Instance Appearance for Recognition \u2013 Can We Do Better Than EM?", "", "Stanford University", "Stanford University", "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "37.43131385", "-122.16936535", "edu", ""], ["Part-based pose estimation with local and non-local contextual information", "", "Nanjing University", "Nanjing University", "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "32.05659570", "118.77408833", "edu", ""], ["Inner Space Preserving Generative Pose Machine", "", "Northeastern University", "Northeastern University", "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "42.33836680", "-71.08793524", "edu", ""], ["End-to-end Recovery of Human Shape and Pose", "", "University of California, Berkeley", "University of California, Berkeley", "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "37.86871260", "-122.25586815", "edu", ""], ["Convolutional Pose Machines", "", "Carnegie Mellon University", "Carnegie Mellon University", "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "37.41021930", "-122.05965487", "edu", ""], ["Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation", "", "New York University", "New York University", "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "40.72925325", "-73.99625394", "edu", ""], ["Multi-person Pose Estimation with Local Joint-to-Person Associations", "", "University of Bonn", "University of Bonn", "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "50.73381240", "7.10224650", "edu", ""], ["Fine-grained classification of pedestrians in video: Benchmark and state of the art", "California Institute of Technology", "California Institute of Technology", "California Institute of Technology", "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "34.13710185", "-118.12527487", "edu", ""], ["DeePM: A Deep Part-Based Model for Object Detection and Semantic Part Localization", "", "University of California, Los Angeles", "University of California, Los Angeles", "200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA", "34.06877880", "-118.44500940", "edu", ""], ["Fast Human Pose Estimation", "", "University of Electronic Science and Technology of China", "University of Electronic Science and Technology of China", "Columbus, OH 43210, USA", "40.01419050", "-83.03091430", "edu", ""], ["MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation", "", "New York University", "New York University", "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "40.72925325", "-73.99625394", "edu", ""], ["A Semi-Supervised Data Augmentation Approach using 3D Graphical Engines", "", "Northeastern University", "Northeastern University", "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "42.33836680", "-71.08793524", "edu", ""], ["Deeply Learned Compositional Models for Human Pose Estimation", "", "Northwestern University", "Northwestern University", "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "42.05511640", "-87.67581113", "edu", ""], ["Efficient object localization using Convolutional Networks", "", "New York University", "New York University", "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "40.72925325", "-73.99625394", "edu", ""], ["Part-Pair Representation for Part Localization", "Columbia University", "Columbia University", "Columbia University", "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "40.84198360", "-73.94368971", "edu", ""], ["Daily Living Activities Recognition via Efficient High and Low Level Cues Combination and Fisher Kernel Representation", "", "University Politehnica of Bucharest", "University Politehnica of Bucharest", "Universitatea Politehnica din Bucure\u0219ti, Novum Invest, Bucure\u0219ti, Militari, Sector 6, Municipiul Bucure\u0219ti, 060042, Rom\u00e2nia", "44.43918115", "26.05044565", "edu", ""], ["Deep Fully-Connected Part-Based Models for Human Pose Estimation", "", "University of Oxford", "University of Oxford", "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "51.75345380", "-1.25400997", "edu", ""], ["Appearance Sharing for Collective Human Pose Estimation", "", "University of Edinburgh", "University of Edinburgh", "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "55.94951105", "-3.19534913", "edu", ""], ["2D-3D Pose Consistency-based Conditional Random Fields for 3D Human Pose Estimation", "", "Seoul National University", "Seoul National University", "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "37.26728000", "126.98411510", "edu", ""], ["Localization of Humans in Images Using Convolutional Networks", "", "New York University", "New York University", "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "40.72925325", "-73.99625394", "edu", ""], ["Metadata of the chapter that will be visualized in SpringerLink", "", "Stanford University", "Stanford University", "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "37.43131385", "-122.16936535", "edu", ""], ["Combining local appearance and holistic view: Dual-Source Deep Neural Networks for human pose estimation", "", "University of South Carolina", "University of South Carolina", "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "33.99282980", "-81.02685168", "edu", ""], ["Stacked Deformable Part Model with Shape Regression for Object Part Localization", "of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", ""], ["Compact Real-time avoidance on a Humanoid Robot for Human-robot Interaction", "", "Yale University", "Yale University", "Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA", "41.25713055", "-72.98966960", "edu", ""], ["It's all Relative: Monocular 3D Human Pose Estimation from Weakly Supervised Data", "", "California Institute of Technology", "California Institute of Technology", "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "34.13710185", "-118.12527487", "edu", ""], ["Pose-Driven Deep Convolutional Model for Person Re-identification", "", "University of Texas at San Antonio", "University of Texas at San Antonio", "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "29.58333105", "-98.61944505", "edu", ""], ["Multi-task Recurrent Neural Network for Immediacy Prediction", "", "Chinese University of Hong Kong", "The Chinese University of Hong Kong", "\u4e2d\u5927 CUHK, NA\u68af New Asia Stairs, \u99ac\u6599\u6c34 Ma Liu Shui, \u4e5d\u809a\u6751 Kau To Village, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1191, \u4e2d\u56fd", "22.42031295", "114.20788644", "edu", ""], ["Self-supervised Learning of Geometrically Stable Features Through Probabilistic Introspection", "", "University of Oxford", "University of Oxford", "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "51.75345380", "-1.25400997", "edu", ""], ["Structured Feature Learning for Pose Estimation", "", "Chinese University of Hong Kong", "The Chinese University of Hong Kong", "\u4e2d\u5927 CUHK, NA\u68af New Asia Stairs, \u99ac\u6599\u6c34 Ma Liu Shui, \u4e5d\u809a\u6751 Kau To Village, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1191, \u4e2d\u56fd", "22.42031295", "114.20788644", "edu", ""], ["Beyond Physical Connections: Tree Models in Human Pose Estimation", "", "Nanjing University", "Nanjing University", "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "32.05659570", "118.77408833", "edu", ""], ["Human Pose Estimation from Monocular Images: A Comprehensive Survey", "", "Shandong University", "Shandong University", "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "36.36934730", "120.67381800", "edu", ""], ["Training object class detectors with click supervision Dim", "", "University of Edinburgh", "University of Edinburgh", "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "55.94951105", "-3.19534913", "edu", ""], ["PoseTrack: A Benchmark for Human Pose Estimation and Tracking", "", "University of Bonn", "University of Bonn", "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "50.73381240", "7.10224650", "edu", ""], ["DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild", "University College London, UK", "University College London", "University College London", "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "51.52316070", "-0.12820370", "edu", ""], ["Shape Models of the Human Body for Distributed Inference", "", "Brown University", "Brown University", "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "41.82686820", "-71.40123146", "edu", ""], ["Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image", "", "University College London", "University College London", "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "51.52316070", "-0.12820370", "edu", ""], ["Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses", "", "Technical University Munich", "Technical University Munich", "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "48.14955455", "11.56775314", "edu", ""], ["From Pictorial Structures to deformable structures", "", "Brown University", "Brown University", "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "41.82686820", "-71.40123146", "edu", ""], ["Human Pose Estimation Using Body Parts Dependent Joint Regressors", "", "ETH Z\u00fcrich", "ETH Z\u00fcrich", "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "47.37645340", "8.54770931", "edu", ""], ["Multi-view Pictorial Structures for 3D Human Pose Estimation", "", "Max Planck Institute for Informatics", "Max Planck Institute for Informatics", "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "49.25795660", "7.04577417", "edu", ""], ["Towards Understanding Action Recognition", "", "Brown University", "Brown University", "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "41.82686820", "-71.40123146", "edu", ""], ["A Rotation Invariant Latent Factor Model for Moveme Discovery from Static Poses", "California Institute of Technology, Pasadena, CA, USA", "California Institute of Technology", "California Institute of Technology", "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "34.13710185", "-118.12527487", "edu", ""], ["Human Pose Estimation via Convolutional Part Heatmap Regression", "", "University of Nottingham", "University of Nottingham", "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "52.93874280", "-1.20029569", "edu", ""], ["Learning Feature Pyramids for Human Pose Estimation", "", "University of Sydney", "University of Sydney", "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "-33.88890695", "151.18943366", "edu", ""], ["Input Reconstruction Side and top down view Part Segmentation Input Reconstruction Side and top down view Part Segmentation", "", "University of California, Berkeley", "University of California, Berkeley", "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "37.86871260", "-122.25586815", "edu", ""], ["Learning Kinematic Descriptions using SPARE: Simulated and Physical ARticulated Extendable dataset", "", "University of Michigan", "University of Michigan", "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "42.29421420", "-83.71003894", "edu", ""], ["Adversarial PoseNet: A Structure-Aware Convolutional Network for Human Pose Estimation", "", "Nanjing University", "Nanjing University", "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "32.05659570", "118.77408833", "edu", ""], ["GANerated Hands for Real-time 3D Hand Tracking from Monocular RGB", "", "Stanford University", "Stanford University", "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "37.43131385", "-122.16936535", "edu", ""], ["Training Object Class Detectors with 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"35.86166000", "104.19539700", "company", ""], ["Learning Visual Symbols for Parsing Human Poses in Images", "", "Nanjing University", "Nanjing University", "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "32.05659570", "118.77408833", "edu", ""], ["DGPose: Disentangled Semi-supervised Deep Generative Models for Human Body Analysis", "", "University of Oxford", "University of Oxford", "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "51.75345380", "-1.25400997", "edu", ""], ["Fast Online Upper Body Pose Estimation from Video", "", "Beijing, China", "Beijing, China", "\u5317\u4eac\u5e02, \u4e1c\u57ce\u533a, \u5317\u4eac\u5e02, 100010, \u4e2d\u56fd", "39.90621700", "116.39127570", "edu", ""], ["Beyond Tree Structure Models: A New Occlusion Aware Graphical Model for Human Pose Estimation", "", "Chinese Academy of Sciences", "Chinese Academy of Sciences", 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Annotator training Annotating images", "", "University of Edinburgh", "University of Edinburgh", "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "55.94951105", "-3.19534913", "edu", ""], ["Deep Multitask Architecture for Integrated 2D and 3D Human Sensing", "", "Lund University", "Lund University", "TEM at Lund University, 9, Klostergatan, Stadsk\u00e4rnan, Centrum, Lund, Sk\u00e5ne, G\u00f6taland, 22222, Sverige", "55.70395710", "13.19020110", "edu", ""], ["ConvNets with Smooth Adaptive Activation Functions for Regression", "Stony Brook University Hospital", "Stony Brook University Hospital", "Stony Brook University Hospital", "Stony Brook University Hospital, 101, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "40.90826665", "-73.11520891", "edu", ""], ["Self Adversarial Training for Human Pose Estimation", "", "National Tsing Hua University", "National Tsing Hua University", "\u570b\u7acb\u6e05\u83ef\u5927\u5b78, 101, \u514b\u606d\u6a4b, \u5149\u660e\u91cc, \u8d64\u571f\u5d0e, \u6771\u5340, \u65b0\u7af9\u5e02, 30013, \u81fa\u7063", "24.79254840", "120.99511830", "edu", ""], ["Joint Attention in Driver-Pedestrian Interaction: from Theory to Practice", "York University, Toronto, ON, Canada", "York University", "York University", "York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada", "43.77439110", "-79.50481085", "edu", ""], ["End-to-End Learning of Deformable Mixture of Parts and Deep Convolutional Neural Networks for Human Pose Estimation", "", "Chinese University of Hong Kong", "The Chinese University of Hong Kong", "\u4e2d\u5927 CUHK, NA\u68af New Asia Stairs, \u99ac\u6599\u6c34 Ma Liu Shui, \u4e5d\u809a\u6751 Kau To Village, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1191, \u4e2d\u56fd", "22.42031295", "114.20788644", "edu", ""], ["CRF-CNN: Modeling Structured Information in Human Pose Estimation", "", "Chinese University of Hong Kong", "The Chinese University of Hong Kong", "\u4e2d\u5927 CUHK, NA\u68af New Asia Stairs, \u99ac\u6599\u6c34 Ma Liu Shui, \u4e5d\u809a\u6751 Kau To Village, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1191, \u4e2d\u56fd", "22.42031295", "114.20788644", "edu", ""], ["A Complete View Depended Volleyball Video Dataset under the Uncontrolled Conditions", "", "Islamic Azad University", "Islamic Azad University", "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0622\u0632\u0627\u062f \u0627\u0633\u0644\u0627\u0645\u06cc, \u0647\u0645\u062f\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u0647\u0645\u062f\u0627\u0646, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "34.84529990", "48.55962120", "edu", ""], ["Real-time Factored ConvNets: Extracting the X Factor in Human Parsing", "", "University of Cambridge", "University of Cambridge", "Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK", "52.17638955", "0.14308882", "edu", ""], ["Modeling Instance Appearance for Recognition \u2013 Can We Do Better Than EM?", "", "Stanford University", "Stanford University", "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "37.43131385", "-122.16936535", "edu", ""], ["Part-based pose estimation with local and non-local contextual information", "", "Nanjing University", "Nanjing University", "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "32.05659570", "118.77408833", "edu", ""], ["Inner Space Preserving Generative Pose Machine", "", "Northeastern University", "Northeastern University", "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "42.33836680", "-71.08793524", "edu", ""], ["End-to-end Recovery of Human Shape and Pose", "", "University of California, Berkeley", "University of California, Berkeley", "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "37.86871260", "-122.25586815", "edu", ""], ["Convolutional Pose Machines", "", "Carnegie Mellon University", "Carnegie Mellon University", "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "37.41021930", "-122.05965487", "edu", ""], ["Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation", "", "New York University", "New York University", "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "40.72925325", "-73.99625394", "edu", ""], ["Multi-person Pose Estimation with Local Joint-to-Person Associations", "", "University of Bonn", "University of Bonn", "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "50.73381240", "7.10224650", "edu", ""], ["Fine-grained classification of pedestrians in video: Benchmark and state of the art", "California Institute of Technology", "California Institute of Technology", "California Institute of Technology", "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "34.13710185", "-118.12527487", "edu", ""], ["DeePM: A Deep Part-Based Model for Object Detection and Semantic Part Localization", "", "University of California, Los Angeles", "University of California, Los Angeles", "200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA", "34.06877880", "-118.44500940", "edu", ""], ["Fast Human Pose Estimation", "", "University of Electronic Science and Technology of China", "University of Electronic Science and Technology of China", "Columbus, OH 43210, USA", "40.01419050", "-83.03091430", "edu", ""], ["MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation", "", "New York University", "New York University", "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "40.72925325", "-73.99625394", "edu", ""], ["A Semi-Supervised Data Augmentation Approach using 3D Graphical Engines", "", "Northeastern University", "Northeastern University", "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "42.33836680", "-71.08793524", "edu", ""], ["Deeply Learned Compositional Models for Human Pose Estimation", "", "Northwestern University", "Northwestern University", "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "42.05511640", "-87.67581113", "edu", ""], ["Efficient object localization using Convolutional Networks", "", "New York University", "New York University", "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "40.72925325", "-73.99625394", "edu", ""], ["Part-Pair Representation for Part Localization", "Columbia University", "Columbia University", "Columbia University", "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "40.84198360", "-73.94368971", "edu", ""], ["Daily Living Activities Recognition via Efficient High and Low Level Cues Combination and Fisher Kernel Representation", "", "University Politehnica of Bucharest", "University Politehnica of Bucharest", "Universitatea Politehnica din Bucure\u0219ti, Novum Invest, Bucure\u0219ti, Militari, Sector 6, Municipiul Bucure\u0219ti, 060042, Rom\u00e2nia", "44.43918115", "26.05044565", "edu", ""], ["Deep Fully-Connected Part-Based Models for Human Pose Estimation", "", "University of Oxford", "University of Oxford", "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "51.75345380", "-1.25400997", "edu", ""], ["Appearance Sharing for Collective Human Pose Estimation", "", "University of Edinburgh", "University of Edinburgh", "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "55.94951105", "-3.19534913", "edu", ""], ["2D-3D Pose Consistency-based Conditional Random Fields for 3D Human Pose Estimation", "", "Seoul National University", "Seoul National University", "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "37.26728000", "126.98411510", "edu", ""], ["Localization of Humans in Images Using Convolutional Networks", "", "New York University", "New York University", "NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA", "40.72925325", "-73.99625394", "edu", ""], ["Metadata of the chapter that will be visualized in SpringerLink", "", "Stanford University", "Stanford University", "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "37.43131385", "-122.16936535", "edu", ""], ["Combining local appearance and holistic view: Dual-Source Deep Neural Networks for human pose estimation", "", "University of South Carolina", "University of South Carolina", "University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA", "33.99282980", "-81.02685168", "edu", ""], ["Stacked Deformable Part Model with Shape Regression for Object Part Localization", "of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", ""], ["Compact Real-time avoidance on a Humanoid Robot for Human-robot Interaction", "", "Yale University", "Yale University", "Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA", "41.25713055", "-72.98966960", "edu", ""], ["It's all Relative: Monocular 3D Human Pose Estimation from Weakly Supervised Data", "", "California Institute of Technology", "California Institute of Technology", "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "34.13710185", "-118.12527487", "edu", ""], ["Pose-Driven Deep Convolutional Model for Person Re-identification", "", "University of Texas at San Antonio", "University of Texas at San Antonio", "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "29.58333105", "-98.61944505", "edu", ""], ["Multi-task Recurrent Neural Network for Immediacy Prediction", "", "Chinese University of Hong Kong", "The Chinese University of Hong Kong", "\u4e2d\u5927 CUHK, NA\u68af New Asia Stairs, \u99ac\u6599\u6c34 Ma Liu Shui, \u4e5d\u809a\u6751 Kau To Village, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1191, \u4e2d\u56fd", "22.42031295", "114.20788644", "edu", ""], ["Self-supervised Learning of Geometrically Stable Features Through Probabilistic Introspection", "", "University of Oxford", "University of Oxford", "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "51.75345380", "-1.25400997", "edu", ""], ["Structured Feature Learning for Pose Estimation", "", "Chinese University of Hong Kong", "The Chinese University of Hong Kong", "\u4e2d\u5927 CUHK, NA\u68af New Asia Stairs, \u99ac\u6599\u6c34 Ma Liu Shui, \u4e5d\u809a\u6751 Kau To Village, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1191, \u4e2d\u56fd", "22.42031295", "114.20788644", "edu", ""], ["Beyond Physical Connections: Tree Models in Human Pose Estimation", "", "Nanjing University", "Nanjing University", "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "32.05659570", "118.77408833", "edu", ""], ["Human Pose Estimation from Monocular Images: A Comprehensive Survey", "", "Shandong University", "Shandong University", "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "36.36934730", "120.67381800", "edu", ""], ["Training object class detectors with click supervision Dim", "", "University of Edinburgh", "University of Edinburgh", "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "55.94951105", "-3.19534913", "edu", ""], ["PoseTrack: A Benchmark for Human Pose Estimation and Tracking", "", "University of Bonn", "University of Bonn", "Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 53113, Deutschland", "50.73381240", "7.10224650", "edu", ""], ["DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild", "University College London, UK", "University College London", "University College London", "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "51.52316070", "-0.12820370", "edu", ""], ["Shape Models of the Human Body for Distributed Inference", "", "Brown University", "Brown University", "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "41.82686820", "-71.40123146", "edu", ""], ["Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image", "", "University College London", "University College London", "UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK", "51.52316070", "-0.12820370", "edu", ""], ["Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses", "", "Technical University Munich", "Technical University Munich", "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "48.14955455", "11.56775314", "edu", ""], ["From Pictorial Structures to deformable structures", "", "Brown University", "Brown University", "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "41.82686820", "-71.40123146", "edu", ""], ["Human Pose Estimation Using Body Parts Dependent Joint Regressors", "", "ETH Z\u00fcrich", "ETH Z\u00fcrich", "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "47.37645340", "8.54770931", "edu", ""], ["Multi-view Pictorial Structures for 3D Human Pose Estimation", "", "Max Planck Institute for Informatics", "Max Planck Institute for Informatics", "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "49.25795660", "7.04577417", "edu", ""], ["Towards Understanding Action Recognition", "", "Brown University", "Brown University", "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "41.82686820", "-71.40123146", "edu", ""], ["A Rotation Invariant Latent Factor Model for Moveme Discovery from Static Poses", "California Institute of Technology, Pasadena, CA, USA", "California Institute of Technology", "California Institute of Technology", "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "34.13710185", "-118.12527487", "edu", ""], ["Human Pose Estimation via Convolutional Part Heatmap Regression", "", "University of Nottingham", "University of Nottingham", "University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK", "52.93874280", "-1.20029569", "edu", ""], ["Learning Feature Pyramids for Human Pose Estimation", "", "University of Sydney", "University of Sydney", "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "-33.88890695", "151.18943366", "edu", ""], ["Input Reconstruction Side and top down view Part Segmentation Input Reconstruction Side and top down view Part Segmentation", "", "University of California, Berkeley", "University of California, Berkeley", "Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA", "37.86871260", "-122.25586815", "edu", ""], ["Learning Kinematic Descriptions using SPARE: Simulated and Physical ARticulated Extendable dataset", "", "University of Michigan", "University of Michigan", "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "42.29421420", "-83.71003894", "edu", ""], ["Adversarial PoseNet: A Structure-Aware Convolutional Network for Human Pose Estimation", "", "Nanjing University", "Nanjing University", "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "32.05659570", "118.77408833", "edu", ""], ["GANerated Hands for Real-time 3D Hand Tracking from Monocular RGB", "", "Stanford University", "Stanford University", "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "37.43131385", "-122.16936535", "edu", ""], ["Training Object Class Detectors with Click Supervision", "", "University of Edinburgh", "University of Edinburgh", "New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK", "55.94951105", "-3.19534913", "edu", ""], ["Pose-Guided Human Parsing by an AND/OR Graph Using Pose-Context Features", "", "University of California, Los Angeles", "University of California, Los Angeles", "200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA", "34.06877880", "-118.44500940", "edu", ""], ["MONET: Multiview Semi-supervised Keypoint via Epipolar Divergence", "", "University of Minnesota", "University of Minnesota", "WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA", "44.97308605", "-93.23708813", "edu", ""], ["Thin-Slicing Network: A Deep Structured Model for Pose Estimation in Videos", "", "ETH Zurich", "Computer Vision Laboratory, ETH Zurich, Zurich, Switzerland", "Sternwartstrasse 7, 8092 Z\u00fcrich, Switzerland", "47.37723980", "8.55216180", "edu", ""], ["Dual Path Networks for Multi-Person Human Pose Estimation", "", "University of Missouri", "University of Missouri", "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "38.92676100", "-92.29193783", "edu", ""], ["A Coarse-Fine Network for Keypoint Localization", "", "University of Technology Sydney", "University of Technology Sydney", "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "-33.88096510", "151.20107299", "edu", ""], ["Pose-Guided Human Parsing with Deep Learned Features", "", "University of California, Los Angeles", "University of California, Los Angeles", "200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA", "34.06877880", "-118.44500940", "edu", ""], ["Neural Networks with Smooth Adaptive Activation Functions for Regression", "Stony Brook University, NY, USA", "Stony Brook University", "Stony Brook University", "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "40.91531960", "-73.12706260", "edu", ""], ["Marker-Less 3D Human Motion Capture with Monocular Image Sequence and Height-Maps", "", "National University of Singapore", "National University of Singapore", "NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore", "1.29620180", "103.77689944", "edu", ""]]}
\ No newline at end of file diff --git a/site/datasets/citations/datasets.csv b/site/datasets/citations/datasets.csv new file mode 100644 index 00000000..70115ede --- /dev/null +++ b/site/datasets/citations/datasets.csv @@ -0,0 +1,241 @@ +key,title,link,images,people,year,citations,influenced
+10k_US_adult_faces,10K US Adult Faces,,"10,168 ","10,168 ",2013,47,10
+3d_rma,3D-RMA,,0,120 ,1999,95,10
+3dddb_unconstrained,3D Dynamic,,0,58 ,2013,999,673
+3dpes,3DPeS,,"1,011 ",192 ,2011,122,8
+4dfab,4DFAB,,"1,835,513 ",180 ,2017,4,1
+50_people_one_question,50 People One Question,,0,,2013,15,3
+a_pascal_yahoo,aPascal,,0,,2009,999,177
+adience,Adience,,"26,580 ","2,284 ",2014,168,56
+afad,AFAD,,"164,432 ",,2017,68,14
+afew_va,AFEW-VA,,"30,000 ",249 ,2017,175,36
+affectnet,AffectNet,,"100,000 ","450,000 ",2017,0,0
+aflw,AFLW,,"25,993 ",,2011,292,99
+afw,AFW,,205 ,,2012,999,319
+agedb,AgeDB,,"16,488 ",568 ,2017,11,0
+alert_airport,ALERT Airport,,"39,902 ","9,651 ",2016,15,2
+am_fed,AM-FED,,0,"168,359 ",2013,73,17
+apis,APiS1.0,,"3,661 ",,2013,26,7
+ar_facedb,AR Face,,"4,000 ",126 ,1998,999,673
+awe_ears,AWE Ears,,"1,000 ",100 ,2016,24,6
+b3d_ac,B3D(AC),,0,,2010,39,5
+bbc_pose,BBC Pose,,0,,2013,25,2
+berkeley_pose,BPAD,,"8,035 ",,2011,221,25
+bfm,BFM,,0,200 ,2009,323,77
+bio_id,BioID Face,,"1,521 ",23 ,2001,498,103
+bjut_3d,BJUT-3D,,0,500 ,2005,2,0
+bosphorus,The Bosphorus,,"3,545 ",81 ,2007,328,70
+bp4d_plus,BP4D+,,"196,000,000 ",140 ,2016,40,5
+bp4d_spontanous,BP4D-Spontanous,,0,41 ,2013,151,39
+brainwash,Brainwash,,"11,917 ",,2015,57,4
+bu_3dfe,BU-3DFE,,"10,000 ",100 ,2006,555,130
+buhmap_db,BUHMAP-DB ,,0,11 ,2007,25,2
+cafe,CAFE,,"1,192 ",154 ,2015,33,3
+caltech_10k_web_faces,Caltech 10K Web Faces,,"7,092 ",,2003,60,6
+caltech_pedestrians,Caltech Pedestrians,,"250,000 ","2,300 ",2009,999,255
+camel,CAMEL,,0,,2018,19,0
+cas_peal,CAS-PEAL,,"99,594 ","1,040 ",2004,415,83
+casablanca,Casablanca,,"1,466 ",,2015,27,5
+casia_webface,CASIA Webface,,"494,414 ","10,575 ",2014,436,126
+celeba,CelebA,,"202,599 ","10,177 ",2015,808,227
+celeba_plus,CelebFaces+,,"202,599 ","10,177 ",2014,51,5
+cfd,CFD,,0,600 ,2015,83,13
+chalearn,ChaLearn,,0,,,10,1
+chokepoint,ChokePoint,,"64,204 ",54 ,2011,128,33
+cityscapes,Cityscapes,,"25,000 ",,2016,771,216
+clothing_co_parsing,CCP,,"2,098 ",,2014,60,6
+cmdp,CMDP,,583 ,53 ,2014,9,5
+cmu_pie,CMU PIE,,"41,368 ",68 ,2003,742,156
+coco,COCO,,"328,000 ",,2014,283,55
+coco_action,COCO-a,,"10,000 ",,2015,26,2
+coco_qa,COCO QA,,"123,287 ",,2015,191,45
+cofw,COFW,,"1,007 ",,2013,305,115
+cohn_kanade,CK,,486 ,97 ,2000,999,174
+cohn_kanade_plus,CK+,,593 ,123 ,2010,975,235
+columbia_gaze,Columbia Gaze,,"5,880 ",56 ,2013,24,2
+complex_activities,Ongoing Complex Activities,,0,,2016,2,0
+cuhk01,CUHK01,,"1,942 ",971 ,2012,258,92
+cuhk02,CUHK02,,"7,264 ","1,816 ",2013,242,70
+cuhk03,CUHK03,,"13,164 ","1,360 ",2014,512,207
+cvc_01_barcelona,CVC-01,,"6,000 ",,2007,44,5
+czech_news_agency,UFI,,0,"1,135 ",2015,10,3
+d3dfacs,D3DFACS,,"46,710 ",10 ,2011,52,8
+dartmouth_children,Dartmouth Children,,0,80 ,2013,20,3
+data_61,Data61 Pedestrian,,"50,000 ","25,551 ",2008,8,1
+deep_fashion,DeepFashion,,"800,000 ",,,23,4
+disfa,DISFA,,"130,815 ",27 ,2013,8,2
+distance_nighttime,Long Distance Heterogeneous Face,,0,100 ,2012,21,1
+duke_mtmc,Duke MTMC,,"2,000,000 ","2,834 ",2016,136,55
+emotio_net,EmotioNet Database,,"100,000 ",,2016,72,10
+eth_andreas_ess,ETHZ Pedestrian,,"2,293 ",,2007,319,73
+europersons,EuroCity Persons,,"47,300 ",,2018,1,0
+expw,ExpW,,"8,306 ",,2015,9,2
+face_research_lab,Face Research Lab London,,0,,2017,4,0
+face_scrub,FaceScrub,,"106,863 ",530 ,2014,123,20
+face_tracer,FaceTracer,,0,,2008,2,0
+facebook_100,Facebook100,,100 ,100 ,2011,50,18
+faceplace,Face Place,,0,200 ,2012,24,4
+families_in_the_wild,FIW,,"11,193 ","10,676 ",2016,3,0
+fddb,FDDB,,"2,845 ",,2010,1,0
+fei,FEI,,"2,800 ",200 ,2006,0,0
+feret,FERET,,"14,126 ","1,199 ",1996,999,534
+ferplus,FER+,,"35,887 ",,2016,29,7
+fia,CMU FiA,,0,180 ,2010,55,9
+fiw_300,300-W,,600 ,,2013,169,15
+frav3d,FRAV3D,,"1,696 ",106 ,2006,389,21
+frgc,FRGC,,"50,000",688,2004,999,253
+gallagher,Gallagher,,589 ,32 ,2008,6,0
+gavab_db,Gavab,,549 ,61 ,2013,94,11
+geofaces,GeoFaces,,"248,000 ",,,2,0
+georgia_tech_face_database,Georgia Tech Face,,0,50 ,1999,3,0
+h3d,H3D,,0,,2009,707,105
+hda_plus,HDA+,,"2,976 ",53 ,2014,1,0
+helen,Helen,,"2,330 ",,2012,339,119
+hi4d_adsip,Hi4D-ADSIP,,"3,360 ",80 ,2011,5,0
+hipsterwars,Hipsterwars,,"1,893 ",,,91,7
+hollywood_headset,HollywoodHeads,,"224,740 ",,2015,27,5
+hrt_transgender,HRT Transgender,,"10,564 ",38 ,2013,999,170
+ifad,IFAD,,"3,296 ",55 ,2015,2,0
+ifdb,IFDB,,"3,600 ",487 ,2007,0,0
+iit_dehli_ear,IIT Dehli Ear,,465 ,125 ,2011,70,8
+ijb_a,IJB-A,,"24,327 ",500 ,2015,222,80
+ijb_b,IJB-B,,"11,754 ",,2017,25,11
+ijb_c,IJB-C,,"21,294 ","3,531 ",2017,9,3
+ilids_mcts,,,0,119 ,2009,32,3
+ilids_vid_reid,iLIDS-VID,,"43,800 ",300 ,2014,7,0
+images_of_groups,Images of Groups,,"5,080 ",,2009,202,44
+imdb_wiki,IMDB,,"523,051 ","82,612 ",2016,102,28
+imfdb,IMFDB,,"34,512 ",100 ,2013,15,2
+imm_face,IMM Face Dataset,,240 ,40 ,2004,292,99
+immediacy,Immediacy,,"10,000 ",,2015,25,7
+imsitu,imSitu,,"126,102 ",0 ,,48,8
+inria_person,INRIA Pedestrian,,"1,805 ",,2005,999,3574
+jaffe,JAFFE,,213 ,10 ,,848,172
+jiku_mobile,Jiku Mobile Video Dataset,,0,,2013,1,0
+jpl_pose,JPL-Interaction dataset,,0,,2013,148,12
+kdef,KDEF,,"4,900 ",70 ,1998,608,95
+kin_face,UB KinFace,,600 ,400 ,2011,89,12
+kinectface,KinectFaceDB,,0,52 ,2014,75,24
+lag,LAG,,"3,828 ","1,010 ",2017,7,1
+large_scale_person_search,Large Scale Person Search,,"18,184 ","8,432 ",2016,41,9
+leeds_sports_pose,Leeds Sports Pose,,"2,000 ",,2010,278,93
+leeds_sports_pose_extended,Leeds Sports Pose Extended,,"10,000 ",,2011,173,30
+lfw,LFW,/datsets/lfw/,"13,233 ","5,749 ",2007,116,29
+lfw_p,LFWP,,0,,2011,521,196
+m2vts,m2vts,,185 ,37 ,1997,415,83
+m2vtsdb_extended,xm2vtsdb,,"2,360 ",295 ,1999,999,673
+mafl,MAFL,,"20,000 ",,2015,105,36
+malf,MALF,,"5,250 ",,2015,17,5
+mapillary,Mapillary,,"25,000 ",,2017,44,12
+market_1501,Market 1501,,"32,217 ","1,501 ",2015,394,161
+market1203,Market 1203,,"8,569 ","1,203 ",2016,7,0
+mars,MARS,,"1,191,003 ","1,261 ",2016,146,52
+mcgill,McGill Real World,,"18,000 ",60 ,2012,18,2
+megaage,MegaAge,,"41,941 ",,2017,4,2
+megaface,MegaFace,,"4,753,520 ","672,057 ",2016,27,11
+mifs,MIFS,,642 ,214 ,2017,5,0
+mit_cbcl,MIT CBCL,,"2,000 ",10 ,2003,12,1
+miw,MIW,,154 ,125 ,2013,46,8
+mmi_facial_expression,MMI Facial Expression Dataset,,2900?,75 ,2005,440,64
+moments_in_time,Moments in Time,,0,,2018,25,5
+morph,MORPH Commercial,,0,515 ,2006,424,108
+morph_nc,MORPH Non-Commercial,,"55,134 ","13,618 ",2007,424,108
+mpi_large,Large MPI Facial Expression,,0,19 ,2012,28,2
+mpi_small,Small MPI Facial Expression,,"12,595 ",6 ,2005,28,2
+mpii_gaze,MPIIGaze,,"213,659 ",15 ,2015,138,30
+mpii_human_pose,MPII Human Pose,,"1,021,720 ",,2014,356,91
+mrp_drone,MRP Drone,,0,,2014,5,1
+msceleb,MsCeleb,,"1,000,000 ","100,000 ",2016,167,46
+msmt_17,MSMT17,,"126,441 ","4,101 ",2018,14,3
+muct,MUCT,,"3,755 ",276 ,2010,292,99
+mug_faces,MUG Faces,,"1,222 ",26 ,2010,68,16
+multi_pie,MULTIPIE,,"750,000 ",337 ,2008,192,41
+mtfl,MTFL,,"12,995 ",,2014,105,36
+names_and_faces_news,News Dataset,,"30,281 ",,2004,294,29
+nd_2006,ND-2006,,"13,450 ",888 ,2007,32,6
+nova_emotions,Novaemötions Dataset,,"42,911 ",46 ,2013,8,2
+nudedetection,Nude Detection,,180 ,,2009,51,3
+orl,ORL,,400 ,40 ,1994,999,303
+penn_fudan,Penn Fudan,,170 ,,2007,101,15
+peta,PETA,,0,"19,000 ",2014,80,29
+pets,PETS 2017,,"33,264 ",,2017,8,0
+pilot_parliament,PPB,,"1,270 ","1,270 ",2017,11,0
+pipa,PIPA,,"63,188 ","2,356 ",2015,50,20
+pku,PKU,,0,18 ,2015,3,0
+pku_reid,PKU-Reid,,"1,824 ",114 ,2016,7,0
+pornodb,Pornography DB,,"16,727 ",,2013,77,8
+precarious,Precarious,,951 ,,2017,12,1
+prid,PRID,,"24,541 ",934 ,2011,352,116
+prw,PRW,,"34,304 ",932 ,2016,65,10
+psu,PSU,,0,"6,156 ",2012,151,20
+pubfig,PubFig,,"58,797 ",200 ,2009,894,170
+pubfig_83,pubfig83,,"8,300 ",83 ,2011,50,18
+put_face,Put Face,,"9,971 ",100 ,2008,999,673
+qmul_grid,GRID,,"1,275 ","1,025 ",2009,77,15
+qmul_surv_face,QMUL-SurvFace,,"463,507 ","15,573 ",2018,0,0
+rafd,RaFD,,536 ,67 ,2010,446,69
+raid,RAiD,,"6,920 ",43 ,2014,45,6
+rap_pedestrian,RAP,,0,,2016,21,5
+reseed,ReSEED,,"430,000 ",,2014,6,2
+saivt,SAIVT SoftBio,,"64,472 ",152 ,2012,58,15
+sarc3d,Sarc3D,,200 ,50 ,2011,29,1
+scface,SCface,,"4,160 ",130 ,2011,1,0
+scut_fbp,SCUT-FBP,,0,500 ,2015,14,5
+sdu_vid,SDU-VID,,0,300 ,2015,196,77
+sheffield,Sheffield Face,,564 ,20 ,1998,999,547
+social_relation,Social Relation,,"8,306 ",,2015,20,3
+soton,SOTON HiD,,0,100 ,2004,148,19
+sports_videos_in_the_wild,SVW,,0,,2015,6,1
+stair_actions,STAIR Action,,0,,2018,0,0
+stanford_drone,Stanford Drone,,0,,2016,5,0
+stickmen_buffy,Buffy Stickmen,,748 ,,2008,278,93
+stickmen_family,We Are Family Stickmen,,525 ,,2010,77,8
+stickmen_pascal,Stickmen PASCAL,,549 ,,2008,373,89
+sun_attributes,SUN,,"16,873 ",,2010,260,57
+svs,SVS,,0,,2013,26,7
+texas_3dfrd,Texas 3DFRD,,"1,149 ",118 ,2010,88,10
+tiny_images,Tiny Images,,"7,527,697 ",,2008,999,92
+towncenter,TownCenter,,0,,2011,310,61
+tud_brussels,TUD-Brussels,,508 ,,2009,217,25
+tud_campus,TUD-Campus,,71 ,,2008,529,45
+tud_crossing,TUD-Crossing,,201 ,,2008,529,45
+tud_motionpairs,TUD-Motionparis,,"1,092 ",,2009,217,25
+tud_multiview,TUD-Multiview,,"1,982 ",,2010,302,46
+tud_pedestrian,TUD-Pedestrian,,250 ,,2008,529,45
+tud_stadtmitte,TUD-Stadtmitte,,170 ,,2010,302,46
+tvhi,TVHI,,0,,2010,91,23
+uccs,UCCS,,0,"1,732 ",2018,5,1
+ucf_101,UCF101,,0,,2015,999,354
+ucf_crowd,UCF-CC-50,,50 ,,2013,125,45
+ucf_selfie,UCF Selfie,,"46,836 ",,2015,9,1
+ufdd,UFDD,,"6,424 ",,2018,2,2
+umb,UMB,,"1,473 ",143 ,2011,45,14
+umd_faces,UMD,,"367,888 ","8,501 ",2016,1,0
+unbc_shoulder_pain,UNBC-McMaster Pain,,"48,398 ",29 ,2011,184,58
+urban_tribes,Urban Tribes,,340 ,,2013,17,1
+used,USED Social Event Dataset,,"525,000 ",,2016,7,0
+v47,V47,,752 ,47 ,2011,10,1
+vadana,VADANA,,"2,298 ",43 ,2011,16,4
+vgg_celebs_in_places,,,"38,000 ","4,611 ",2016,5,1
+vgg_faces,VGG Face,,"982,803 ","2,622 ",2015,999,275
+vgg_faces2,VGG Face2,,"3,310,000 ","9,131 ",2018,56,19
+violent_flows,Violent Flows,,0,,2012,83,25
+viper,VIPeR,,"1,264 ",632 ,2007,584,235
+visual_phrases,Phrasal Recognition,,"2,769 ",,2011,233,39
+vmu,VMU,,204 ,51 ,2012,49,13
+voc,VOC,,"11,530 ",,2012,999,222
+vqa,VQA,,"204,721 ",,2017,731,202
+ward,WARD,,"4,786 ",70 ,2012,55,10
+who_goes_there,WGT,,"2,106,468 ",,2016,0,0
+wider,WIDER,,"50,574 ",,2015,45,9
+wider_attribute,,,"13,789 ",,,18,3
+wider_face,WIDER FACE,,"32,203 ",0 ,2016,148,55
+wildtrack,WildTrack,,0,300 ,2018,0,0
+yale_faces,YaleFaces,,165 ,15 ,1997,999,353
+yawdd,YawDD,,0,,2014,14,3
+yfcc_100m,YFCC100M,,"99,171,688 ",,2014,160,23
+york_3d,UOY 3D Face Database,,"5,250 ",350 ,2008,36,1
+youtube_faces,YouTubeFaces,,0,"1,595 ",2011,485,177
+youtube_makeup,YMU,,604 ,151 ,2012,46,8
+youtube_poses,YouTube Pose,,0,,2016,32,5
+wlfdb,WLFDB,,"714,454 ","6,025 ",2014,1,0
diff --git a/site/public/index.html b/site/public/index.html index d60d50e9..78d02434 100644 --- a/site/public/index.html +++ b/site/public/index.html @@ -50,7 +50,7 @@ <section><h2>Facial Recognition Datasets</h2> <p>Regular Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.</p> <h3>Summary</h3> -</section><section><div class='meta'><div><div class='gray'>Found</div><div>275 datasets</div></div><div><div class='gray'>Created between</div><div>1993-2018</div></div><div><div class='gray'>Smallest dataset</div><div>20 images</div></div><div><div class='gray'>Largest dataset</div><div>10,000,000 images</div></div></div></section><section><div class='meta'><div><div class='gray'>Highest resolution faces</div><div>450x500 (Unconstrained College Students)</div></div><div><div class='gray'>Lowest resolution faces</div><div>16x20 pixels (QMUL SurvFace)</div></div></div></section><section></section> +</section><section><div class='meta'><div><div class='gray'>Found</div><div>275 datasets</div></div><div><div class='gray'>Created between</div><div>1993-2018</div></div><div><div class='gray'>Smallest dataset</div><div>20 images</div></div><div><div class='gray'>Largest dataset</div><div>10,000,000 images</div></div></div></section><section><div class='meta'><div><div class='gray'>Highest resolution faces</div><div>450x500 (Unconstrained College Students)</div></div><div><div class='gray'>Lowest resolution faces</div><div>16x20 pixels (QMUL SurvFace)</div></div></div></section><section><div class='applet' data-payload='{"command": "load file", "opt": "https://megapixels.nyc3.digitaloceanspaces.com/v1/citations/datasets.csv"}'></div></section> </div> diff --git a/site/public/test/citations/index.html b/site/public/test/citations/index.html index 32b9115c..fec2e674 100644 --- a/site/public/test/citations/index.html +++ b/site/public/test/citations/index.html @@ -28,6 +28,7 @@ <div class="content"> <section><h1>Citations</h1> +<h2><a href="/test/">← Back to test index</a></h2> </section><section><div class='applet' data-payload='{"command": "citations lfw"}'></div></section> </div> diff --git a/site/public/test/csv/index.html b/site/public/test/csv/index.html index a201c94a..0ef3592d 100644 --- a/site/public/test/csv/index.html +++ b/site/public/test/csv/index.html @@ -29,7 +29,7 @@ <section><h1>CSV Test</h1> <h2><a href="/test/">← Back to test index</a></h2> -</section><section><div class='applet' data-payload='{"command": "load file", "opt": "/datasets/lfw/assets/lfw_names_gender_kg_min.csv", "fields": "Name, Images, Gender, Description"}'></div></section> +</section><section><div class='applet' data-payload='{"command": "load file", "opt": "https://nyc3.digitaloceanspaces.com/megapixels/v1/site/test//datasets/lfw/assets/lfw_names_gender_kg_min.csv", "fields": "Name, Images, Gender, Description"}'></div></section> </div> <footer> diff --git a/site/public/test/datasets/index.html b/site/public/test/datasets/index.html index 2874ee2d..976f8ffe 100644 --- a/site/public/test/datasets/index.html +++ b/site/public/test/datasets/index.html @@ -28,7 +28,8 @@ <div class="content"> <section><h1>Index of datasets</h1> -</section><section><div class='applet' data-payload='{"command": "load file", "opt": "https://nyc3.digitaloceanspaces.com/megapixels/v1/site/test/https://megapixels.nyc3.digitaloceanspaces.com/v1/datasets/datasets.csv"}'></div></section> +<h2><a href="/test/">← Back to test index</a></h2> +</section><section><div class='applet' data-payload='{"command": "load file", "opt": "https://megapixels.nyc3.digitaloceanspaces.com/v1/citations/datasets.csv"}'></div></section> </div> <footer> diff --git a/site/public/test/face_search/index.html b/site/public/test/face_search/index.html index 3ae3e3f0..c6c49c7f 100644 --- a/site/public/test/face_search/index.html +++ b/site/public/test/face_search/index.html @@ -28,6 +28,7 @@ <div class="content"> <section><h1>Face search</h1> +<h2><a href="/test/">← Back to test index</a></h2> </section><section><div class='applet' data-payload='{"command": "face_search lfw"}'></div></section> </div> diff --git a/site/public/test/gallery/index.html b/site/public/test/gallery/index.html index fa7ab0ec..841c8225 100644 --- a/site/public/test/gallery/index.html +++ b/site/public/test/gallery/index.html @@ -28,6 +28,7 @@ <div class="content"> <section><h1>Gallery test</h1> +<h2><a href="/test/">← Back to test index</a></h2> </section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/site/test/assets/man.jpg' alt='Modal image 1'><div class='caption'>Modal image 1</div></div> <div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/site/test/assets/man.jpg' alt='Modal image 2'><div class='caption'>Modal image 2</div></div> <div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/site/test/assets/man.jpg' alt='Modal image 3'><div class='caption'>Modal image 3</div></div></section> diff --git a/site/public/test/map/index.html b/site/public/test/map/index.html index cb8a216e..ae75bcc6 100644 --- a/site/public/test/map/index.html +++ b/site/public/test/map/index.html @@ -27,7 +27,9 @@ </header> <div class="content"> - <section><div class='applet' data-payload='{"command": "map lfw"}'></div></section> + <section><h1>Map test</h1> +<h2><a href="/test/">← Back to test index</a></h2> +</section><section><div class='applet' data-payload='{"command": "map lfw"}'></div></section> </div> <footer> diff --git a/site/public/test/name_search/index.html b/site/public/test/name_search/index.html index f67b8723..b8ce1e3a 100644 --- a/site/public/test/name_search/index.html +++ b/site/public/test/name_search/index.html @@ -27,7 +27,9 @@ </header> <div class="content"> - <section><div class='applet' data-payload='{"command": "name_search lfw"}'></div></section> + <section><h1>Name search</h1> +<h2><a href="/test/">← Back to test index</a></h2> +</section><section><div class='applet' data-payload='{"command": "name_search lfw"}'></div></section> </div> <footer> diff --git a/site/public/test/style/index.html b/site/public/test/style/index.html index 5e3ac6ea..34eeae53 100644 --- a/site/public/test/style/index.html +++ b/site/public/test/style/index.html @@ -28,6 +28,7 @@ <div class="content"> <section><h1>Style Examples</h1> +<h2><a href="/test/">← Back to test index</a></h2> </section><section class='wide'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/site/test/assets/test.jpg' alt='Style Guide Test'><div class='caption'>Style Guide Test</div></div></section><section><div class='meta'><div><div class='gray'>Date</div><div>17-Jan-2019</div></div><div><div class='gray'>Numbers</div><div>17</div></div><div><div class='gray'>Identities</div><div>12,139</div></div><div><div class='gray'>But also</div><div>This is a test of the stylesheet</div></div></div></section><section><h1>Header 1</h1> <h2>Header 2</h2> <h3>Header 3</h3> |