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Re-identification", "", "Michigan State University", "Michigan State University", "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "42.71856800", "-84.47791571", "edu", "", "United States", "2015"], ["Person Search by Multi-Scale Matching", "", "Queen Mary University of London", "Queen Mary University of London", "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "51.52472720", "-0.03931035", "edu", "", "United Kingdom", "2018"], ["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", "", "Brazil", "2018"], ["Video Person Re-identification with Competitive Snippet-similarity Aggregation and Co-attentive Snippet Embedding", "", "SenseTime", "SenseTime", "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "39.99300800", "116.32988200", "company", "1 Zhongguancun E Rd, Haidian Qu, China", "China", ""], ["Person re-identification with coarse-to-fine visual attention", "Tsinghua National Lab for Info. Sci. & Tech., Depart. of Computer Sci. & Tech., Tsinghua University, Beijing, China", "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", "", "China", "2017"], ["Beyond Triplet Loss: A Deep Quadruplet Network for Person Re-identification", "", "University of Dundee", "University of Dundee", "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "56.45796755", "-2.98214831", "edu", "", "United Kingdom", "2017"], ["Efficient Online Local Metric Adaptation via Negative Samples for Person Re-identification", "", "Northwestern University", "Northwestern University", "Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA", "42.05511640", "-87.67581113", "edu", "", "United States", "2017"], ["Deep Multi-Metric Learning for Person Re-Identification", "School of Big Data & Software Engineering, Chongqing University, Chongqing, China", "Chongqing University", "Chongqing University", "\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", "29.50841740", "106.57858552", "edu", "", "China", "2018"], ["Beyond Pairwise Matching: Person Reidentification via High-Order Relevance Learning", "Tsinghua National Laboratory for Information Science and Technology, Key Laboratory for Information System Security, Ministry of Education, School of Software, Tsinghua University, Beijing, China", "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", "", "China", "2018"], ["Deep Group-shuffling Random Walk for Person Re-identification", "", "SenseTime", "SenseTime", "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "39.99300800", "116.32988200", "company", "1 Zhongguancun E Rd, Haidian Qu, China", "China", "2018"], ["Person re-identification by distance metric learning to discrete hashing", "IRIP Laboratory, Beijing Key Laboratory of Digital Media, Beihang University, Beijing 100191, China", "Beihang University", "Beihang University", "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "39.98083330", "116.34101249", "edu", "", "China", "2016"], ["Recurrent Neural Networks for Person Re-identification Revisited", "", "Stanford University", "Stanford University", "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "37.43131385", "-122.16936535", "edu", "", "United States", "2018"], ["Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning", "", "University of Colorado, Boulder", "University of Colorado, Boulder", "Naropa University, Arapahoe Avenue, The Hill, Boulder, Boulder County, Colorado, 80309, USA", "40.01407945", "-105.26695944", "edu", "", "United States", "2018"], ["Sampling Algorithms to Handle Nuisances in Large-Scale Recognition", "", "University of California", "University of California", "Berkeley, CA, USA", "37.87189920", "-122.25853990", "edu", "", "United States", "2017"], ["Human Recognition by Appearance and Gait", "NRU Higher School of Economics, Moscow, Russia", "Moscow State University", "Moscow State University", "ul. Leninskiye Gory, 1, Moskva, Russia, 119991", "55.70393490", "37.52866960", "edu", "", "Russia", "2018"], ["Cross-view projective dictionary learning for person re-identification", "", "Northeastern University", "Northeastern University", "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "42.33836680", "-71.08793524", "edu", "", "United States", "2015"], ["Deep feature embedding learning for person re-identification based on lifted structured loss", "School of Electronic Engineering, Xidian University, Xian, China", "Xidian University", "Xidian University", "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "34.12358250", "108.83546000", "edu", "", "China", "2018"], ["Enhanced Deep Feature Representation for Person Search", "Faculty of Information Technology, Beijing University of Technology, Beijing, China", "Beijing University of Technology", "Beijing University of Technology", "\u5317\u4eac\u5de5\u4e1a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u5927\u90ca\u4ead\u6751, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 3208, \u4e2d\u56fd", "39.87391435", "116.47722285", "edu", "", "China", "2017"], ["In Defense of the Classification Loss for Person Re-Identification", "", "Microsoft Research Asia", "Microsoft Research Asia", "1 Memorial Dr, Cambridge, MA 02142, USA", "42.36142560", "-71.08120920", "company", "", "United States", "2018"], ["Two-stream person re-identification with multi-task deep neural networks", "Xiamen University of Technology, Xiamen, China", "Xiamen University of Technology", "Xiamen University of Technology, Xiamen 361024, China", "600 Ligong Rd, Jimei Qu, Xiamen Shi, Fujian Sheng, China, 361024", "24.62053900", "118.08463100", "edu", "", "China", "2018"], ["Multi-part compact bilinear CNN for person re-identification", "School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, China", "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", "", "China", "2017"], ["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", "", "United States", "2018"], ["Pose Transferrable 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", "", "China", ""], ["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", "", "Australia", "2017"], ["Simultaneous Feature and Dictionary Learning for Image Set Based Face Recognition", "", "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", "", "United States", "2017"], ["Random Erasing Data Augmentation", "", "Xiamen University", "Xiamen University", "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "24.43994190", "118.09301781", "edu", "", "China", "2017"], ["Cross-Resolution Person Re-identification with Deep Antithetical Learning", "", "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", "", "China", "2018"], ["Deep neural network for person re-identification in a non-overlapping camera network", "School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea", "Gwangju Institute of Science and Technology", "Gwangju Institute of Science and Technology", "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "35.22652880", "126.83998700", "edu", "", "", "2017"], ["Deep learning prototype domains for person re-identification", "", "Queen Mary University of London", "Queen Mary University of London", "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "51.52472720", "-0.03931035", "edu", "", "United Kingdom", "2017"], ["Implementing a Robust Explanatory Bias in a Person Re-identification Network", "", "Naval Research Laboratory", "Naval Research Laboratory", "Naval Research Laboratory Post Office, 4555, Overlook Avenue Southwest, Washington, D.C., 20375, USA", "38.82313810", "-77.01789020", "mil", "", "United States", ""], ["Confidence-Based Data Association and Discriminative Deep Appearance Learning for Robust Online Multi-Object Tracking", "School of Information and Communications, Gwangju Institute of Science and Technology, Buk-Gu, Gwangju, South Korea", "Gwangju Institute of Science and Technology", "Gwangju Institute of Science and Technology", "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "35.22652880", "126.83998700", "edu", "", "", "2018"], ["A novel two-stream saliency image fusion CNN architecture for person re-identification", "University of Texas at San Antonio, San Antonio, USA", "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", "", "United States", "2017"], ["Person Re-Identification by Deep Joint Learning of Multi-Loss Classification", "", "Queen Mary University of London", "Queen Mary University of London", "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "51.52472720", "-0.03931035", "edu", "", "United Kingdom", "2017"], ["Domain adaptation for cross-dataset person re-identification", "SiMiT Lab, Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, \u0130stanbul Teknik \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye", "Istanbul Technical University", "Istanbul Technical University", "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "41.10427915", "29.02231159", "edu", "", "Turkey", "2018"], ["Learning patch-dependent kernel forest for person re-identification", "", "University of Tennessee", "University of Tennessee", "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "35.95424930", "-83.93073950", "edu", "", "United States", "2016"], ["Pyramid Person Matching Network for Person Re-identification", "", "Zhejiang University", "Zhejiang University", "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "30.19331415", "120.11930822", "edu", "", "China", "2017"], ["Dual Channel Gradient feature for person re-identification", "College of Command Information Systems, PLA University of Science & Technology, Nanjing, China", "PLA University of Science & Technology", "College of Command Information Systems, PLA University of Science & Technology, Nanjing, China", "China, \u53cc\u9f99\u885760\u53f7", "31.97090700", "118.81289890", "edu", "", "China", "2016"], ["Person Re-Identification by Cross-View Multi-Level Dictionary Learning", "Department of Electrical and Computer Engineering, Northeastern University, Boston, MA", "Northeastern University", "Northeastern University", "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "42.33836680", "-71.08793524", "edu", "", "United States", "2018"], ["Learning a Discriminative Null Space for Person Re-identification", "", "Queen Mary University of London", "Queen Mary University of London", "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "51.52472720", "-0.03931035", "edu", "", "United Kingdom", "2016"], ["Self Attention Grid for Person Re-Identification", "", "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", "", "United States", "2018"], ["In Defense of the Triplet Loss for Person Re-Identification", "", "RWTH Aachen University", "RWTH Aachen University", "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "50.77917030", "6.06728733", "edu", "", "Germany", "2017"], ["Self-attention Learning for Person Re-identification", "", "Northwestern Polytechnical University", "Northwestern Polytechnical University", "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "34.24691520", "108.91061982", "edu", "", "China", "2018"], ["Exploiting Multi-grain Ranking Constraints for Precisely Searching Visually-similar Vehicles", "", "Peking University", "Peking University", "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "39.99223790", "116.30393816", "edu", "", "China", "2017"], ["Reranking of person re-identification by manifold-based approach", "Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China", "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", "", "China", "2015"], ["Gated Siamese Convolutional Neural Network Architecture for Human Re-Identification", "", "Nanyang Technological University", "Nanyang Technological University", "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "1.34841040", "103.68297965", "edu", "", "Singapore", "2016"], ["Robust dictionary learning with graph regularization for unsupervised person re-identification", "SPKLSTN Lab, Department of Computer Science and Technology, Xi\u2019an Jiaotong University, Xi\u2019an, China", "University of Technology Sydney", "University of Technology Sydney", "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "-33.88096510", "151.20107299", "edu", "", "Australia", "2017"], ["Constrained Deep Metric Learning for 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", "", "China", "2015"], ["Where to Focus: Deep Attention-based Spatially Recurrent Bilinear Networks for Fine-Grained Visual Recognition", "", "University of New South Wales", "University of New South Wales", "UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia", "-33.91758275", "151.23124025", "edu", "", "Australia", "2017"], ["Attention in Multimodal Neural Networks for Person Re-identification", "", "Aalborg University", "Aalborg University", "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "57.01590275", "9.97532827", "edu", "", "Denmark", ""], ["Local region partition for person re-identification", "School of Computer and Information, Hefei University of Technology, Hefei, China", "Hefei University of Technology", "Hefei University of Technology", "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "31.84691800", "117.29053367", "edu", "", "China", "2017"], ["Online Multi-Object Tracking with Dual Matching Attention Networks", "", "University of California", "University of California", "Berkeley, CA, USA", "37.87189920", "-122.25853990", "edu", "", "United States", "2018"], ["Multi-Region bilinear convolutional neural networks for person re-identification", "Skolkovo Institute of Science and Technology, Skolkovo, Moscow", "Skolkovo Institute of Science and Technology, Skolkovo, Moscow", "Skolkovo Institute of Science and Technology, Skolkovo, Moscow", "Ulitsa Nobelya, 3, Moskva, Moscow Oblast, Russia, 121205", "55.68465660", "37.34075390", "edu", "", "", "2017"], ["Learning Feature Embedding with Strong Neural Activations for Fine-Grained Retrieval", "Zhejiang University, Hangzhou, China", "Zhejiang University", "Zhejiang University", "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "30.19331415", "120.11930822", "edu", "", "China", "2017"], ["Person Re-identification with Cascaded Pairwise Convolutions", "", "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", "", "China", ""], ["A traffic object classification pipeline based on CNNs", "School of Computer and Information technology, Beijing Jiaotong University, China", "Beijing Jiaotong University", "Beijing Jiaotong University", "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "39.94976005", "116.33629046", "edu", "", "China", "2015"], ["Pedestrian Behavior Modeling From Stationary Crowds With Applications to Intelligent Surveillance", "Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong", "Chinese University of Hong Kong", "Chinese University of Hong Kong", "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "22.41626320", "114.21093180", "edu", "", "China", "2016"], ["Pose Invariant Embedding for Deep 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", "", "Australia", "2017"], ["Local Convolutional Neural Networks for Person Re-Identification", "University of Science and Technology of China, Hefei, China", "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", "", "China", "2018"], ["0 Multi Channel-Kernel Canonical Correlation Analysis for Cross-View Person Re-Identification", "", "University of Southern California", "University of Southern California", "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "34.02241490", "-118.28634407", "edu", "", "United States", "2017"], ["Person re-identification using multiple features fusion", "School of Communication & Information Engineering, Shanghai University, China", "Shanghai University", "Shanghai University", "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "31.32235655", "121.38400941", "edu", "", "China", "2016"], ["Graph regularized low-rank matrix recovery for robust person re-identification", "Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan", "Academia Sinica, Taiwan", "Academia Sinica, Taiwan", "No. 128\u865f, Section 2, Academia Rd, Nangang District, Taipei City, Taiwan 11529", "25.04218520", "121.61454770", "edu", "", "Taiwan", "2015"], ["Triplet CNN and pedestrian attribute recognition for improved person re-identification", "Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, France", "University of Lyon", "Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, F-69621, France", "20 Avenue Albert Einstein, 69100 Villeurbanne, France", "45.78332440", "4.87819840", "edu", "", "France", "2017"], ["Deep Association Learning for Unsupervised Video Person Re-identification", "", "Queen Mary University of London", "Queen Mary University of London", "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "51.52472720", "-0.03931035", "edu", "", "United Kingdom", "2018"], ["Sample-Specific SVM Learning for Person Re-identification", "", "Dalian University of Technology", "Dalian University of Technology", "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "38.88140235", "121.52281098", "edu", "", "China", "2016"], ["Deep multi-instance learning for end-to-end person re-identification", "School of Information Science and Technology, Jiujiang University, Jiujiang, China", "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, \u4e2d\u56fd", "30.50975370", "114.40628810", "edu", "", "China", "2017"], ["Two-Stream Multirate Recurrent Neural Network for Video-Based Pedestrian Reidentification", "School of Information Science and Engineering, Shandong Normal University, Jinan, China", "Lanzhou University", "Lanzhou University", "222 Tianshui S Rd, Chengguan Qu, Lanzhou Shi, Gansu Sheng, China", "36.04776990", "103.85856240", "edu", "", "", "2018"], ["A Multi-task Deep Network for Person Re-identification", "", "University of Dundee", "University of Dundee", "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "56.45796755", "-2.98214831", "edu", "", "United Kingdom", "2017"], ["Generating Descriptions with Grounded and Co-referenced People", "", "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", "", "United States", "2017"], ["Deep Reinforcement Learning Attention Selection For Person Re-Identification", "", "Queen Mary University of London", "Queen Mary University of London", "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "51.52472720", "-0.03931035", "edu", "", "United Kingdom", "2017"], ["Attributes co-occurrence pattern mining for video-based person re-identification", "Center for Research in Intelligent Systems University of California, Riverside, CA 92521, USA", "Center for Research in Intelligent Systems University of California", "Center for Research in Intelligent Systems University of California, Riverside, CA 92521, USA", "900 University Ave, Riverside, CA 92521, USA", "33.97370550", "-117.32806440", "edu", "", "United States", "2017"], ["Convolutional LSTM Networks for Video-based Person Re-identification \u2217", "", "University of Adelaide", "University of Adelaide", "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "-34.91892260", "138.60423668", "edu", "", "Australia", "2016"], ["Learning Deep Features via Congenerous Cosine Loss for Person Recognition", "", "Chinese University of Hong Kong", "Chinese University of Hong Kong", "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "22.41626320", "114.21093180", "edu", "", "China", "2017"], ["A codebook of brightness transfer functions for improved target re-identification across non-overlapping camera views", "Dept. of Electrical Engineering and Computer Science, Syracuse University", "Syracuse University", "Syracuse University", "Syracuse, NY, USA", "43.03915340", "-76.13511580", "edu", "", "", "2017"], ["Image to Video Person Re-Identification by Learning Heterogeneous Dictionary Pair With Feature Projection Matrix", "State Key Laboratory of Software Engineering, School of Computer, Wuhan University, Wuhan, China", "Wuhan University of Technology", "Wuhan University of Technology", "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "30.60903415", "114.35142840", "edu", "", "China", "2018"], ["Cross-domain attribute representation based on convolutional neural network", "", "Soochow University", "Soochow University", "\u82cf\u5dde\u5927\u5b66\uff08\u5929\u8d50\u5e84\u6821\u533a\uff09, \u6e05\u836b\u8def, \u949f\u697c\u793e\u533a, \u53cc\u5854\u8857\u9053, \u59d1\u82cf\u533a, \u82cf\u5dde\u5e02, \u6c5f\u82cf\u7701, 215001, \u4e2d\u56fd", "31.30709510", "120.63573987", "edu", "", "China", "2018"], ["Multi-Perspective Tracking for Intelligent Vehicle", "School of Engineering and Applied Science, Harvard University, Cambridge, MA, USA", "Harvard University", "Harvard University", "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "42.36782045", "-71.12666653", "edu", "", "United States", "2018"], ["Discovering Disentangled Representations with the F Statistic Loss", "", "University of Colorado, Boulder", "University of Colorado, Boulder", "Naropa University, Arapahoe Avenue, The Hill, Boulder, Boulder County, Colorado, 80309, USA", "40.01407945", "-105.26695944", "edu", "", "United States", "2017"], ["Dual Attention Matching Network for Context-Aware Feature Sequence based Person Re-Identification", "", "Nanyang Technological University", "Nanyang Technological University", "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "1.34841040", "103.68297965", "edu", "", "Singapore", "2018"], ["Distance Metric Learning via Iterated Support Vector Machines", "School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China", "Harbin Institute of Technology", "Harbin Institute of Technology", "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "45.74139210", "126.62552755", "edu", "", "China", "2017"], ["Aware Person Re-identification across Multiple Resolutions", "", "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", "", "China", "2018"], ["Faceless Person Recognition; Privacy Implications in Social Media", "", "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", "", "Germany", "2016"], ["Unsupervised Person Re-identification by Deep Learning Tracklet Association", "", "Queen Mary University of London", "Queen Mary University of London", "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "51.52472720", "-0.03931035", "edu", "", "United Kingdom", "2018"], ["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", "", "United States", "2018"], ["Beyond frontal faces: Improving Person Recognition using multiple cues", "University of California at Berkeley", "Facebook", "Facebook", "250 Bryant St, Mountain View, CA 94041, USA", "37.39367170", "-122.08072620", "company", "Facebook, Mountain View, CA", "United States", "2015"], ["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", "", "China", "2015"], ["Group Consistent Similarity Learning via Deep CRF for Person Re-Identification", "", "University of Trento", "University of Trento", "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "46.06588360", "11.11598940", "edu", "", "Italy", ""], ["Semantics-Aware Deep Correspondence Structure Learning for Robust Person Re-Identification", "", "Zhejiang University", "Zhejiang University", "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "30.19331415", "120.11930822", "edu", "", "China", "2016"], ["Trajectory Ensemble: Multiple Persons Consensus Tracking Across Non-overlapping Multiple Cameras over Randomly Dropped Camera Networks", "", "Nagoya University", "Nagoya University", "SuperDARN (Hokkaido West), \u592a\u8f9b\u7b2c1\u652f\u7dda\u6797\u9053, \u9678\u5225\u753a, \u8db3\u5bc4\u90e1, \u5341\u52dd\u7dcf\u5408\u632f\u8208\u5c40, \u5317\u6d77\u9053, \u5317\u6d77\u9053\u5730\u65b9, \u65e5\u672c", "43.53750985", "143.60768225", "edu", "", "Japan", "2017"], ["A Siamese Long Short-Term Memory Architecture for Human Re-Identification", "", "University of Sydney", "University of Sydney", "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "-33.88890695", "151.18943366", "edu", "", "Australia", "2016"], ["Adversarial Binary Coding for Efficient Person Re-identification", "", "Beihang University", "Beihang University", "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "39.98083330", "116.34101249", "edu", "", "China", "2018"], ["Scalable Metric Learning via Weighted Approximate Rank Component Analysis", "", "IDIAP Research Institute", "IDIAP Research Institute", "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "46.10923700", "7.08453549", "edu", "", "Switzerland", "2016"], ["Weighted Bilinear Coding over Salient Body Parts for Person Re-identification", "", "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", "", "China", "2018"], ["Human Re-identification in Crowd Videos Using Personal, Social and Environmental Constraints", "", "University of Central Florida", "University of Central Florida", "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "28.59899755", "-81.19712501", "edu", "", "United States", "2016"], ["Person re-identification based on combined Gaussian weighted Fisher vectors", "REGIM: Research Groups on Intelligent Machines, University of Sfax, ENIS, Tunisia", "University of Sfax, Tunisia", "REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia", "Universit\u00e9 de Route de l'A\u00e9roport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia", "34.73610660", "10.74272750", "edu", "University of Sfax, Tunisia", "Tunisia", "2016"], ["See the Forest for the Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-Based Person Re-identification", "", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "39.90828040", "116.24585270", "edu", "", "China", "2017"], ["Learning Non-Metric Visual Similarity for Image Retrieval", "", "Aston University", "Aston University", "Aston University, Aston Street, Digbeth, Birmingham, West Midlands Combined Authority, West Midlands, England, B4, UK", "52.48620785", "-1.88849915", "edu", "", "United Kingdom", "2017"], ["Foreground Gated Network for Surveillance Object Detection", "Zhejiang University, The State Key Laboratory of Industrial Control Technology", "Zhejiang University", "Zhejiang University", "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "30.19331415", "120.11930822", "edu", "", "China", "2018"], ["Multiple Object Tracking by Learning Feature Representation and Distance Metric Jointly", "", "Chinese University of Hong Kong", "Chinese University of Hong Kong", "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "22.41626320", "114.21093180", "edu", "", "China", "2018"], ["Sparse Label Smoothing for Semi-supervised Person Re-Identification", "", "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", "", "United States", "2018"], ["Multi-Channel Pyramid Person Matching Network for Person Re-Identification", "", "Zhejiang University", "Zhejiang University", "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "30.19331415", "120.11930822", "edu", "", "China", "2018"], ["Online Cross-Modal Adaptation for Audio\u2013Visual Person Identification With Wearable Cameras", "Centre for Intelligent Sensing, Queen Mary University of London, London, U.K.", "Queen Mary University of London", "Queen Mary University of London", "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "51.52472720", "-0.03931035", "edu", "", "United Kingdom", "2017"], ["Body structure based triplet Convolutional Neural Network for person re-identification", "Key Laboratory of Machine Perception, Shenzhen Graduate School, Peking University, China", "Peking University", "Peking University", "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "39.99223790", "116.30393816", "edu", "", "China", "2017"], ["Improving person re-identification systems: a novel score fusion framework for rank-n recognition", "University of Houston", "University of Houston", "University of Houston", "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "29.72079020", "-95.34406271", "edu", "", "United States", "2016"], ["An effective approach to crowd counting with CNN-based statistical features", "Anhui University, School of Mathematical Sciences, Hefei, China", "Anhui University", "Anhui University", "\u5b89\u5fbd\u5927\u5b66(\u78ec\u82d1\u6821\u533a), 111, \u4e5d\u9f99\u8def, \u5f18\u6cf0\u82d1, \u5408\u80a5\u56fd\u5bb6\u7ea7\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u8299\u84c9\u793e\u533a, \u5408\u80a5\u7ecf\u6d4e\u6280\u672f\u5f00\u53d1\u533a, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230601, \u4e2d\u56fd", "31.76909325", "117.17795091", "edu", "", "China", "2017"], ["Attention-Aware Compositional Network for Person Re-identification", "", "University of Sydney", "University of Sydney", "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "-33.88890695", "151.18943366", "edu", "", "Australia", "2018"], ["Person reID while Crossing Different Cameras : Combination of Salient-Gaussian Weighted BossaNova and Fisher Vector Encodings", "", "Tunisia", "Tunisia", "Tunisia", "33.88691700", "9.53749900", "edu", "", "", "2017"], ["Robust relationship learning to illumination in a camera network", "School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Republic of Korea", "Gwangju Institute of Science and Technology", "Gwangju Institute of Science and Technology", "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "35.22652880", "126.83998700", "edu", "", "", "2018"], ["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", "", "United States", "2017"], ["Person Re-Identification with Vision and Language", "", "University of Surrey", "University of Surrey", "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "51.24303255", "-0.59001382", "edu", "", "United Kingdom", "2018"], ["Person Re-identification with Deep Similarity-Guided Graph Neural Network", "", "SenseTime", "SenseTime", "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "39.99300800", "116.32988200", "company", "1 Zhongguancun E Rd, Haidian Qu, China", "China", "2018"], ["Deeply-Learned Part-Aligned Representations for Person Re-identification", "", "Microsoft", "Microsoft Corporation, Redmond, WA, USA", "One Microsoft Way, Redmond, WA 98052, USA", "47.64233180", "-122.13693020", "company", "", "United States", "2017"], ["Image-to-Video Person Re-Identification With Temporally Memorized Similarity Learning", "ZTE Corporation, Shenzhen, China", "ZTE Corporation, Shenzhen, China", "ZTE Corporation, Shenzhen, China", "28 Gaoxin South 4th Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "22.53686700", "113.94820400", "edu", "", "China", "2018"], ["Generalizing a Person Retrieval Model Hetero- and Homogeneously", "", "Australian National University", "Australian National University", "Canberra ACT 0200, Australia", "-35.27769990", "149.11852700", "edu", "", "Australia", "2018"], ["SVDNet for Pedestrian Retrieval", "", "University of Technology Sydney", "University of Technology Sydney", "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "-33.88096510", "151.20107299", "edu", "", "Australia", "2017"], ["Retrieving relative soft biometrics for semantic identification", "", "University of Southampton", "University of Southampton", "Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK", "50.89273635", "-1.39464295", "edu", "", "United Kingdom", "2016"], ["Video-based Person Re-identification via 3D Convolutional Networks and Non-local Attention", "", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "39.90828040", "116.24585270", "edu", "", "China", "2018"], ["DARI: distance metric and representation integration for person verification", "", "Sun Yat-Sen University", "Sun Yat-Sen University", "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "23.09461185", "113.28788994", "edu", "", "China", "2016"], ["Deep Siamese Network with Multi-level Similarity Perception for Person Re-identification", "Zhejiang University, Hangzhou, China", "Zhejiang University", "Zhejiang University", "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "30.19331415", "120.11930822", "edu", "", "China", "2017"], ["Human Semantic Parsing for Person Re-identification", "", "Istanbul Technical University", "Istanbul Technical University", "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "41.10427915", "29.02231159", "edu", "", "Turkey", "2018"], ["Person Re-identification by Unsupervised ` 1 Graph Learning", "", "Queen Mary University of London", "Queen Mary University of London", "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "51.52472720", "-0.03931035", "edu", "", "United Kingdom", "2016"], ["Low illumination person re-identification", "School of Computer and Information Engineering, Henan University, Kaifeng, China", "Wuhan University of Technology", "Wuhan University of Technology", "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "30.60903415", "114.35142840", "edu", "", "China", "2018"], ["Collaborative Networks for Person Verification", "Peking University, Shenzhen, China", "Peking University", "Peking University", "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "39.99223790", "116.30393816", "edu", "", "China", "2017"], ["A new deep representation for large-scale scene classification", "Zhejiang Huayun, Zhejiang, China", "State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China", "State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China", "Hangzhou, Zhejiang, China", "30.27408400", "120.15507000", "edu", "", "China", "2017"], ["Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification", "", "Queen Mary University of London", "Queen Mary University of London", "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "51.52472720", "-0.03931035", "edu", "", "United Kingdom", "2018"], ["A Unified Generative Adversarial Framework for Image Generation and Person Re-identification", "Peking University, Beijing, China", "Peking University", "Peking University", "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "39.99223790", "116.30393816", "edu", "", "China", "2018"], ["Appearance-and-Relation Networks for Video Classification", "", "Computer Vision Laboratory, ETH Zurich, Switzerland", "Computer Vision Laboratory, ETH Zurich, Switzerland", "Sternwartstrasse 7, 8092 Z\u00fcrich, Switzerland", "47.37723980", "8.55216180", "edu", "", "Malaysia", "2017"], ["Attention driven person re-identification", "", "Nanyang Technological University", "Nanyang Technological University", "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "1.34841040", "103.68297965", "edu", "", "Singapore", "2019"], ["Neural Person Search Machines", "", "Southwest Jiaotong University", "Southwest Jiaotong University", "\u897f\u5357\u4ea4\u901a\u5927\u5b66 - Xinan Jiaotong University, \u4e8c\u73af\u9ad8\u67b6\u8def, \u6c81\u56ed\u5c0f\u533a, \u91d1\u725b\u533a, \u91d1\u725b\u533a (Jinniu), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610084, \u4e2d\u56fd", "30.69784700", "104.05208110", "edu", "", "China", "2017"], ["Re-ranking Person Re-identification with k-Reciprocal Encoding", "", "Xiamen University", "Xiamen University", "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "24.43994190", "118.09301781", "edu", "", "China", "2017"], ["A loss combination based deep model for person re-identification", "Taizhou Research Institute, Zhejiang University, Taizhou, China", "Zhejiang University", "Zhejiang University", "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "30.19331415", "120.11930822", "edu", "", "China", "2017"], ["Deep spatial pyramid for person re-identification", "Disney Research, Pittsburgh, PA, USA, 15213", "Disney Research", "Disney Research", "521 Circle 7 Dr, Glendale, CA 91201, USA", "34.15797420", "-118.28947290", "company", "", "United States", "2017"], ["Crossing Generative Adversarial Networks for Cross-View Person Re-identification", "", "University of New South Wales", "University of New South Wales", "UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia", "-33.91758275", "151.23124025", "edu", "", "Australia", "2018"], ["Adversarial Open-World Person Re-Identification", "", "Sun Yat-Sen University", "Sun Yat-Sen University", "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "23.09461185", "113.28788994", "edu", "", "China", "2018"], ["Online Inter-Camera Trajectory Association Exploiting Person Re-Identification and Camera Topology", "Beihang University, Beijing, China", "Beihang University", "Beihang University", "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "39.98083330", "116.34101249", "edu", "", "China", "2018"], ["Data-driven and semantic-based pedestrian re-identification", "School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China 212013", "Jiangsu University", "Jiangsu University", "\u6c5f\u82cf\u5927\u5b66, 301, \u5b66\u5e9c\u8def, \u4eac\u53e3\u533a, \u8c61\u5c71\u8857\u9053, \u4eac\u53e3\u533a (Jingkou), \u9547\u6c5f\u5e02 / Zhenjiang, \u6c5f\u82cf\u7701, 212013, \u4e2d\u56fd", "32.20302965", "119.50968362", "edu", "", "China", "2017"], ["Spatial Pyramid-Based Statistical Features for Person Re-Identification: A Comprehensive Evaluation", "School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China", "Beijing University of Posts and Telecommunications", "Beijing University of Posts and Telecommunications", "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "39.96014880", "116.35193921", "edu", "", "China", "2018"], ["Partial Person Re-identification with Alignment and Hallucination", "", "Imperial College London", "Imperial College London", "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "51.49887085", "-0.17560797", "edu", "", "United Kingdom", "2018"], ["Part-Aligned Bilinear Representations for Person Re-identification", "", "Microsoft", "Microsoft Corporation, Redmond, WA, USA", "One Microsoft Way, Redmond, WA 98052, USA", "47.64233180", "-122.13693020", "company", "", "United States", "2018"], ["RCAA: Relational Context-Aware Agents for Person Search", "", "University of Technology Sydney", "University of Technology Sydney", "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "-33.88096510", "151.20107299", "edu", "", "Australia", "2018"], ["Mask-guided Contrastive Attention Model for Person Re-Identification", "", "University of Sydney", "University of Sydney", "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "-33.88890695", "151.18943366", "edu", "", "Australia", "2018"], ["Person re-identification based on deep spatio-temporal features and transfer learning", "Department of Computer Science and Technology, Ocean University of China, 238 Songling Road, Qingdao, China 266100", "Ocean University of China", "Ocean University of China", "\u4e2d\u56fd\u6d77\u6d0b\u5927\u5b66, 238, \u677e\u5cad\u8def S\u014dngl\u01d0ng Road, \u6731\u5bb6\u6d3c, \u5d02\u5c71\u533a (Laoshan), \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266100, \u4e2d\u56fd", "36.16161795", "120.49355276", "edu", "", "China", "2016"], ["Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-Identification", "", "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, \u4e2d\u56fd", "30.50975370", "114.40628810", "edu", "", "China", "2018"], ["Learning Bidirectional Temporal Cues for Video-Based Person Re-Identification", "School of Control Science and Engineering, Shandong University, Jinan, China", "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", "", "China", "2018"], ["Constraint patch matching for faster person re-identification", "Visual Analysis of People (VAP), Aalborg University, Rendsburggade 14, Denmark", "Aalborg University", "Aalborg University", "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "57.01590275", "9.97532827", "edu", "", "Denmark", "2017"], ["Deep Second-Order Siamese Network for Pedestrian Re-identification", "", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "39.90828040", "116.24585270", "edu", "", "China", "2016"], ["Person Recognition in Personal Photo Collections", "", "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", "", "Germany", "2015"], ["Multi-Level Factorisation Net for Person Re-Identification", "", "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", "", "United Kingdom", "2018"], ["Eliminating Background-bias for Robust Person Re-identification", "", "SenseTime", "SenseTime", "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "39.99300800", "116.32988200", "company", "1 Zhongguancun E Rd, Haidian Qu, China", "China", ""], ["Occlusion detector using convolutional neural network for person re-identification", "School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea", "Gwangju Institute of Science and Technology", "Gwangju Institute of Science and Technology", "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "35.22652880", "126.83998700", "edu", "", "", "2017"], ["Person Re-Identification via Distance Metric Learning With Latent Variables", "School of Information and Communication Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China", "Dalian University of Technology", "Dalian University of Technology", "\u5927\u8fde\u7406\u5de5\u5927\u5b66, \u7ea2\u51cc\u8def, \u7518\u4e95\u5b50\u533a, \u51cc\u6c34\u9547, \u7518\u4e95\u5b50\u533a / Ganjingzi, \u5927\u8fde\u5e02 / Dalian, \u8fbd\u5b81\u7701, 116023, \u4e2d\u56fd", "38.88140235", "121.52281098", "edu", "", "China", "2017"], ["Evaluating features for person re-identification", "College of Command Information Systems, PLA University of Science & Technology, Nanjing, China", "PLA University of Science & Technology", "College of Command Information Systems, PLA University of Science & Technology, Nanjing, China", "China, \u53cc\u9f99\u885760\u53f7", "31.97090700", "118.81289890", "edu", "", "China", "2016"], ["Deep Deformable Patch Metric Learning for Person Re-Identification", "Disney Research, Pittsburgh, PA, USA", "Disney Research, Pittsburgh, PA, USA", "Disney Research, Pittsburgh, PA, USA", "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "40.44397890", "-79.94646340", "company", "", "United States", "2018"], ["End-to-End Deep Kronecker-Product Matching for Person Re-identification", "", "SenseTime", "SenseTime", "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "39.99300800", "116.32988200", "company", "1 Zhongguancun E Rd, Haidian Qu, China", "China", "2018"], ["Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image", "", "Sun Yat-Sen University", "Sun Yat-Sen University", "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "23.09461185", "113.28788994", "edu", "", "China", "2017"], ["Distance Aggregation based Score Fusion for improving person re-identification", "Department of Computer Science, University of Houston, TX 77004, United States of America", "University of Houston", "University of Houston", "UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA", "29.72079020", "-95.34406271", "edu", "", "United States", "2017"], ["Key Person Aided Re-identification in Partially Ordered Pedestrian Set", "", "Beijing, China", "Beijing, China", "Beijing, China", "39.90419990", "116.40739630", "edu", "", "China", "2017"], ["Surveillance Video Analysis with External Knowledge and Internal Constraints", "", "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", "", "United States", "2016"], ["A real-time and unsupervised face Re-Identification system for Human-Robot Interaction", "", "Imperial College London", "Imperial College London", "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "51.49887085", "-0.17560797", "edu", "", "United Kingdom", "2017"], ["Real-Time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification", "", "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", "", "China", "2018"], ["Fast Person Re-identification via Cross-Camera Semantic Binary Transformation", "", "University of East Anglia", "University of East Anglia", "Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK", "52.62215710", "1.24091360", "edu", "", "United Kingdom", "2017"], ["Person Search in Videos with One Portrait Through Visual and Temporal Links", "", "SenseTime", "SenseTime", "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "39.99300800", "116.32988200", "company", "1 Zhongguancun E Rd, Haidian Qu, China", "China", "2018"], ["Person Re-Identification by Optimally Organizing Multiple Similarity Measures", "School of Computer and Information Science, Southwest University, Chongqing, China", "Southwest University", "Southwest University", "\u897f\u5357\u5927\u5b66, \u5929\u751f\u8def, \u5317\u789a\u533a (Beibei), \u5317\u789a\u533a, \u5317\u789a\u533a (Beibei), \u91cd\u5e86\u5e02, 400711, \u4e2d\u56fd", "29.82366295", "106.42050016", "edu", "", "China", "2017"], ["OSMO: Online Specific Models for Occlusion in Multiple Object Tracking under Surveillance Scene", "Peking University, Beijing, China", "Peking University", "Peking University", "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "39.99223790", "116.30393816", "edu", "", "China", "2018"], ["POI: Multiple Object Tracking with High Performance Detection and Appearance Feature", "", "SenseTime", "SenseTime", "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "39.99300800", "116.32988200", "company", "1 Zhongguancun E Rd, Haidian Qu, China", "China", "2016"], ["Deep learning with particle filter for person re-identification", "Visual Information Processing Laboratory, School of Computer Science and Technology, Kim Il Sung University, Pyongyang, Democratic People\u2019s Republic of Korea", "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, \u4e2d\u56fd", "30.50975370", "114.40628810", "edu", "", "China", "2018"], ["Highly Efficient Regression for Scalable Person Re-Identification", "", "University of London", "University of London", "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "51.52176680", "-0.13019072", "edu", "", "United Kingdom", "2016"], ["What-and-Where to Match: Deep Spatially Multiplicative Integration Networks for Person Re-identification", "", "University of Queensland", "University of Queensland", "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "-27.49741805", "153.01316956", "edu", "", "Australia", "2018"], ["MARS: A Video Benchmark for Large-Scale Person Re-Identification", "", "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", "", "China", "2016"], ["Cross-dataset person re-identification using deep convolutional neural networks: effects of context and domain adaptation", "Istanbul Technical University, Istanbul, Turkey", "Istanbul Technical University", "Istanbul Technical University", "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "41.10427915", "29.02231159", "edu", "", "Turkey", "2018"], ["Dynamic locally connected layer for person re-identification", "ChongQing YuBei Experimental Primary School, Chongqing, China", "ChongQing YuBei Experimental Primary School, Chongqing, China", "ChongQing YuBei Experimental Primary School, Chongqing, China", "11 Zhongshan 4th Rd, DaXiGou, Yuzhong Qu, Chongqing Shi, China, 400065", "29.56245900", "106.54645100", "edu", "", "China", "2018"], ["Incremental Deep Hidden Attribute Learning", "National Institute of Informatics, Japan, Tokyo, Japan", "National Institute of Informatics, Japan", "National Institute of Informatics, Japan", "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "35.69248530", "139.75825330", "edu", "", "Japan", "2018"], ["A combined feature representation of deep feature and hand-crafted features for person re-identification", "Signal & Information Processing Laboratory, Beijing University of Technology, Beijing, China", "Beijing University of Technology", "Beijing University of Technology", "\u5317\u4eac\u5de5\u4e1a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u5927\u90ca\u4ead\u6751, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 3208, \u4e2d\u56fd", "39.87391435", "116.47722285", "edu", "", "China", "2016"], ["Deep Low-Resolution Person Re-Identification", "", "Queen Mary University of London", "Queen Mary University of London", "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "51.52472720", "-0.03931035", "edu", "", "United Kingdom", "2018"], ["Cross-Scenario Transfer Person Reidentification", "School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China", "Sun Yat-Sen University", "Sun Yat-Sen University", "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "23.09461185", "113.28788994", "edu", "", "China", "2016"], ["Person Depth ReID: Robust Person Re-identification with Commodity Depth Sensors", "", "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", "", "United States", "2017"], ["Person re-identification using CNN features learned from combination of attributes", "Faculty of Information Science and Electrical Engineering (ISEE), Kyushu University, Japan", "Kyushu University", "Kyushu University", "\u4f0a\u90fd\u30b2\u30b9\u30c8\u30cf\u30a6\u30b9, \u685c\u4e95\u592a\u90ce\u4e38\u7dda, \u897f\u533a, \u798f\u5ca1\u5e02, \u798f\u5ca1\u770c, \u4e5d\u5dde\u5730\u65b9, 819\u22120395, \u65e5\u672c", "33.59914655", "130.22359848", "edu", "", "Japan", "2016"], ["Efficient PSD Constrained Asymmetric Metric Learning for 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", "", "China", "2015"], ["Person re-identification with fusion of hand-crafted and deep pose-based body region features", "", "Singapore", "Singapore", "Singapore", "1.35208300", "103.81983600", "edu", "", "Singapore", "2018"], ["A Multi-scale Triplet Deep Convolutional Neural Network for Person Re-identification", "", "Wuhan University of Technology", "Wuhan University of Technology", "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "30.60903415", "114.35142840", "edu", "", "China", "2017"], ["UNIVERSITY OF CALIFORNIA RIVERSIDE Active Learning in Multi-Camera Networks, With Applications in Person Re-Identification A Dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Electrical Engineering by", "", "University of California", "University of California", "Berkeley, CA, USA", "37.87189920", "-122.25853990", "edu", "", "United States", "2015"], ["Integrating Egocentric Videos in Top-View Surveillance Videos: Joint Identification and Temporal Alignment", "", "University of Central Florida", "University of Central Florida", "University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA", "28.59899755", "-81.19712501", "edu", "", "United States", "2018"], ["An enhanced triplet CNN based on body parts for person re-identificacion", "Universidad Nacional de San Agust\u00edn, Arequipa, Per\u00fa", "Universidad Nacional de San Agust\u00edn, Arequipa, Per\u00fa", "Universidad Nacional de San Agust\u00edn, Arequipa, Per\u00fa", "Arequipa, Peru", "-16.40546170", "-71.52082910", "edu", "", "Peru", "2017"], ["DeepList: Learning Deep Features With Adaptive Listwise Constraint for Person Reidentification", "School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China", "Chinese University of Hong Kong", "Chinese University of Hong Kong", "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "22.41626320", "114.21093180", "edu", "", "China", "2017"], ["Multi-Task Learning with Low Rank Attribute Embedding for Multi-Camera Person Re-Identification", "Peking University, Beijing, China", "Peking University", "Peking University", "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "39.99223790", "116.30393816", "edu", "", "China", "2018"], ["Embedding Deep Metric for Person Re-identication A Study Against Large Variations", "", "Sun Yat-Sen University", "Sun Yat-Sen University", "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "23.09461185", "113.28788994", "edu", "", "China", "2016"], ["Deep Multi-View Feature Learning for Person Re-Identification", "UBTech Sydney Artificial Intelligence Institute", "UBTech Sydney Artificial Intelligence Institute", "UBTech Sydney Artificial Intelligence Institute", "Camperdown NSW 2006, Australia", "-33.88858400", "151.18734730", "edu", "", "Australia", "2018"], ["An enhanced deep feature representation for person re-identification", "", "Sun Yat-Sen University", "Sun Yat-Sen University", "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "23.09461185", "113.28788994", "edu", "", "China", "2016"], ["Exploiting feature Representations Through Similarity Learning and Ranking Aggregation for Person Re-identification", "", "Universitat Aut\u00f2noma de Barcelona", "Universitat Aut\u00f2noma de Barcelona", "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "41.50078110", "2.11143663", "edu", "", "Spain", "2017"], ["Crossing-Line Crowd Counting with Two-Phase Deep Neural Networks", "", "Chinese University of Hong Kong", "Chinese University of Hong Kong", "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "22.41626320", "114.21093180", "edu", "", "China", "2016"], ["M2M-GAN: Many-to-Many Generative Adversarial Transfer Learning for Person Re-Identification", "", "Sun Yat-Sen University", "Sun Yat-Sen University", "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "23.09461185", "113.28788994", "edu", "", "China", "2018"], ["Toward facial re-identification: Experiments with data from an operational surveillance camera plant", "Department of Computer Science and Engineering, University of Notre Dame", "University of Notre Dame", "University of Notre Dame", "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "41.70456775", "-86.23822026", "edu", "", "United States", "2016"], ["CRF-CNN: Modeling Structured Information in Human Pose Estimation", "", "Chinese University of Hong Kong", "Chinese University of Hong Kong", "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "22.41626320", "114.21093180", "edu", "", "China", "2016"], ["End-to-end learning of motion , appearance and interaction cues for multi-target tracking", "", "Stanford University", "Stanford University", "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "37.43131385", "-122.16936535", "edu", "", "United States", "2016"], ["A framework with a multi-task CNN model joint with a re-ranking method for vehicle re-identification", "Beijing Jiaotong University, Beijing, China", "Beijing Jiaotong University", "Beijing Jiaotong University", "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "39.94976005", "116.33629046", "edu", "", "China", "2018"], ["End-to-End Deep Learning for Person Search", "", "Sun Yat-Sen University", "Sun Yat-Sen University", "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "23.09461185", "113.28788994", "edu", "", "China", "2016"], ["Quality Aware Network for Set to Set Recognition", "", "University of Sydney", "University of Sydney", "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "-33.88890695", "151.18943366", "edu", "", "Australia", "2017"], ["Person re-identification by discriminant analytical least squares metric learning", "UBTECH Robotics, Shenzhen, People\u2019s Republic of China", "UBTECH Robotics, Shenzhen, People's Republic of China", "UBTECH Robotics, Shenzhen, People\u2019s Republic of China", "Shenzhen, Guangdong, China", "22.54309600", "114.05786500", "edu", "", "China", "2018"], ["Person Re-Identification Using Multi-region Triplet Convolutional Network", "AGH University of Science and Technology, Adama Mickiewicza, Krakow, Poland", "AGH University of Science and Technology", "AGH University of Science and Technology", "AGH, W\u0142adys\u0142awa Reymonta, Czarna Wie\u015b, Krowodrza, Krak\u00f3w, ma\u0142opolskie, 30-059, RP", "50.06570330", "19.91895867", "edu", "", "Poland", "2017"], ["Horizontal Pyramid Matching for Person Re-identification", "", "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", "", "United States", "2018"], ["Joint Learning of Single-Image and Cross-Image Representations for Person Re-identification", "", "Sun Yat-Sen University", "Sun Yat-Sen University", "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "23.09461185", "113.28788994", "edu", "", "China", "2016"], ["SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification", "", "Zhejiang University", "Zhejiang University", "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "30.19331415", "120.11930822", "edu", "", "China", "2018"], ["Attention-based Few-Shot Person Re-identification Using Meta Learning", "", "University of Tennessee", "University of Tennessee", "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "35.95424930", "-83.93073950", "edu", "", "United States", "2018"], ["Surveillance Video Parsing with Single Frame Supervision", "", "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", "", "China", "2017"], ["Towards more reliable matching for person re-identification", "School of Information Science and Technology, Sun Yat-sen University, China", "Sun Yat-Sen University", "Sun Yat-Sen University", "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "23.09461185", "113.28788994", "edu", "", "China", "2015"], ["Harmonious Attention Network for Person Re-Identification", "", "Queen Mary University of London", "Queen Mary University of London", "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "51.52472720", "-0.03931035", "edu", "", "United Kingdom", "2018"], ["Multiple-Shot Person Re-identification via Riemannian Discriminative Learning", "", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "39.90828040", "116.24585270", "edu", "", "China", "2016"], ["Late Fusion in Part-based Person Re-identification", "Visual Analysis of People, Aalborg University, Aalborg, Denmark", "Aalborg University", "Aalborg University", "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "57.01590275", "9.97532827", "edu", "", "Denmark", "2017"], ["Scalable Person Re-identification on Supervised Smoothed Manifold", "", "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, \u4e2d\u56fd", "30.50975370", "114.40628810", "edu", "", "China", "2017"], ["Pedestrian Travel Time Estimation in Crowded Scenes", "", "Shenzhen Institutes of Advanced Technology", "Shenzhen Institutes of Advanced Technology", "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "22.59805605", "113.98533784", "edu", "", "China", "2015"], ["Fast Open-World Person Re-Identification", "School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China", "Sun Yat-Sen University", "Sun Yat-Sen University", "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "23.09461185", "113.28788994", "edu", "", "China", "2018"], ["Exemplar-Guided Similarity Learning on Polynomial Kernel Feature Map for Person Re-identification", "Xi\u2019an Jiaotong University, Xi\u2019an, Shaanxi, China", "Xi\u2019an Jiaotong University", "Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China", "28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China", "34.25080300", "108.98369300", "edu", "", "China", "2017"], ["An Unbiased Temporal Representation for Video-Based Person Re-Identification", "", "University of California", "University of California", "Berkeley, CA, USA", "37.87189920", "-122.25853990", "edu", "", "United States", "2018"], ["A Pose-Sensitive Embedding for Person Re-Identification with Expanded Cross Neighborhood Re-Ranking", "", "Karlsruhe Institute of Technology", "Karlsruhe Institute of Technology", "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "49.10184375", "8.43312560", "edu", "", "Germany", "2017"], ["Saliency preprocessing for person re-identification images", "Institute of Information Science, Beijing Jiaotong University, China", "Institute of Information Science", "Institute of Information Science", "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "25.04107280", "121.61475620", "edu", "", "Taiwan", "2016"], ["SOT for MOT", "", "Beijing, China", "Beijing, China", "Beijing, China", "39.90419990", "116.40739630", "edu", "", "China", "2017"], ["RPIfield : A New Dataset for Temporally Evaluating Person Re-Identification \u2217", "", "Rensselaer Polytechnic Institute", "Rensselaer Polytechnic Institute", "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "42.72984590", "-73.67950216", "edu", "", "United States", ""], ["Vehicle Re-Identification by Deep Hidden Multi-View Inference", "Inception Institute of Artificial Intelligence, Abu Dhabi, United Arab Emirates", "Inception Institute of Artificial Intelligence, Abu Dhabi, UAE", "Inception Institute of Artificial Intelligence, Abu Dhabi, United Arab Emirates", "Abu Dhabi - United Arab Emirates", "24.45388400", "54.37734380", "edu", "", "United Arab Emirates", "2018"], ["Person Transfer GAN to Bridge Domain Gap 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", "", "United States", "2017"], ["Video structured description technology based intelligence analysis of surveillance videos for public security applications", "The Third Research Institute of the Ministry of Public Security, Shanghai, China", "The Third Research Institute of the Ministry of Public Security, Shanghai, China", "The Third Research Institute of the Ministry of Public Security, Shanghai, China", "China, Shanghai, Xuhui, \u5cb3\u9633\u8def76\u53f7", "31.20700600", "121.45196400", "gov", "", "China", "2015"], ["DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer", "", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "39.90828040", "116.24585270", "edu", "", "China", "2018"], ["Scalable Person Re-identification: A Benchmark", "", "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", "", "United States", "2015"], ["Extensive Comparison of Visual Features for Person Re-identification", "School of Automation, Beijing Institute of Technology, Beijng, 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", "", "China", "2016"], ["Person Search via a Mask-Guided Two-Stream CNN Model", "", "University of Sydney", "University of Sydney", "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "-33.88890695", "151.18943366", "edu", "", "Australia", "2018"], ["Person re-identification method based on CNN and manually-selected feature fusion", "School of Information and Communication, Guilin University of Electronic Technology Guangxi Guilin, China", "Guilin University of Electronic Technology Guangxi Guilin", "Guilin University of Electronic Technology Guangxi Guilin", "\u6842\u6797\u7535\u5b50\u79d1\u6280\u5927\u5b66\u91d1\u9e21\u5cad\u6821\u533a, 1\u53f7, \u91d1\u9e21\u8def, \u4e03\u661f\u533a, \u9ec4\u83ba\u5ca9\u6751, \u4e03\u661f\u533a, \u6842\u6797\u5e02, \u5e7f\u897f\u58ee\u65cf\u81ea\u6cbb\u533a, 541004, \u4e2d\u56fd", "25.28739920", "110.33242770", "edu", "", "China", "2017"], ["Reasonably Assign Label Distributions to GAN Images in Person Re-Identification Baseline*", "Beijing Jiaotong University, School of Computer and Information Technology, Beijing, China", "Beijing Jiaotong University", "Beijing Jiaotong University", "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, 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