path: root/site/datasets/citations/market_1501.json

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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"], ["Manifold ranking weighted local maximal occurrence descriptor for person re-identification", "University of Greenwich, London, United Kingdom", "University of Greenwich", "University of Greenwich, London, United Kingdom", "Old Royal Naval College, Park Row, London SE10 9LS, United Kingdom", "51.48293080", "-0.00699500", "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"], ["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"], ["Multi-modal metric learning for vehicle re-identification in traffic surveillance environment", "Shenzhen Key Lab of Advanced Telecommunication and Information Processing, College of Information Engineering, Shenzhen University", "Shenzhen University", "Shenzhen University", "\u6df1\u5733\u5927\u5b66, 3688, \u5357\u6d77\u5927\u9053, \u86c7\u53e3, \u540c\u4e50\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518060, \u4e2d\u56fd", "22.53521465", "113.93159110", "edu", "", "China", "2017"], ["Metric Embedded Discriminative Vocabulary Learning for High-Level Person Representation", "", "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"], ["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"], ["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", "", "Australia", "2017"], ["Deep person re-identification with improved embedding and efficient training", "", "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"], ["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"], ["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"], ["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"], ["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", ""], ["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"], ["Convolutional neural network-based representation for person re-identification", "Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, \u0130stanbul Teknik \u00dcniversitesi, 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", "2016"], ["Cross-Domain Adversarial Feature Learning for Sketch Re-identification", "Queen Mary University of London, London, England UK", "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"], ["GNAS: A Greedy Neural Architecture Search Method for Multi-Attribute Learning", "", "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"], ["Person Reidentification via Ranking Aggregation of Similarity Pulling and Dissimilarity Pushing", "State Key Laboratory of Software Engineering, Collaborative Innovation Center of Geospatial Technology, National Engineering Research Center for Multimedia Software, 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", "2016"], ["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", "", "United Kingdom", "2018"], ["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"], ["A novel CNN-based match kernel for image retrieval", "Department of Electronic Engineering, Tsinghua University, Beijing 100084, 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", "2016"], ["End-to-End Detection and Re-identification Integrated Net for Person Search", "", "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", "2018"], ["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"], ["Multi-Scale Triplet CNN 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", "2016"], ["SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification", "", "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"], ["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"], ["FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification", "", "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"], ["Pooling body parts on feature maps for misalignment robust person re-identification", "National Key Laboratory of Fundamental Science on Synthetic Vision, College of Computer Science, Sichuan University, Chengdu, China", "Sichuan University, Chengdu", "Sichuan Univ., Chengdu", "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "30.64276900", "104.06751175", "edu", "", "China", "2018"], ["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", "", "China", "2018"], ["Video-Based Person Re-identification by Deep Feature Guided Pooling", "", "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"], ["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"], ["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, \u6ee8\u6e56\u533a (Binhu), \u65e0\u9521\u5e02 / Wuxi, \u6c5f\u82cf\u7701, 214121, \u4e2d\u56fd", "31.48542550", "120.27395810", "edu", "", "China", "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"], ["PROVID: Progressive and Multimodal Vehicle Reidentification for Large-Scale Urban Surveillance", "Microsoft Research Asia, Beijing, China", "Microsoft Research Asia", "Microsoft Research Asia", "1 Memorial Dr, Cambridge, MA 02142, USA", "42.36142560", "-71.08120920", "company", "", "United States", "2018"], ["Open Set Adversarial Examples", "", "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"], ["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 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"], ["Towards Good Practices on Building Effective CNN Baseline Model for Person Re-identification", "", "A*STAR, Singapore", "Institute for Infocomm Research, A*STAR, Singapore", "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "1.29889260", "103.78731070", "edu", "", "Singapore", "2018"], ["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"], ["Person Re-identification in the Wild", "", "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"], ["Multi-Gait Recognition Based on Attribute Discovery", "Guangzhou, China", "Guangzhou, China", "Guangzhou, China", "Guangzhou, Guangdong, China", "23.12911000", "113.26438500", "edu", "", "China", "2018"], ["CA3Net: Contextual-Attentional Attribute-Appearance Network 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"], ["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"], ["Pedestrian Color Naming via Convolutional Neural Network", "", "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"], ["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"], ["Multi-person tracking by discriminative affinity model and hierarchical association", "School of Computer Science, Sichuan University, Chengdu, China", "Sichuan University, Chengdu", "Sichuan Univ., Chengdu", "\u56db\u5ddd\u5927\u5b66\uff08\u534e\u897f\u6821\u533a\uff09, \u6821\u4e1c\u8def, \u6b66\u4faf\u533a, \u6b66\u4faf\u533a (Wuhou), \u6210\u90fd\u5e02 / Chengdu, \u56db\u5ddd\u7701, 610014, \u4e2d\u56fd", "30.64276900", "104.06751175", "edu", "", "China", "2017"], ["Support Neighbor Loss 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", "2018"], ["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"], ["Hierarchical Cross Network for Person Re-identification", "", "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", "2017"], ["Person re-identification with deep dense feature representation and Joint Bayesian", "Department of Computer Science and Technology, Ocean University of China, China", "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", "2017"], ["Unsupervised Adaptive Re-identification in Open World Dynamic Camera Networks", "", "Istituto Italiano di Tecnologia", "Istituto Italiano di Tecnologia", "77 Massachusetts Ave, Cambridge, MA 02139, USA", "42.36009100", "-71.09416000", "edu", "", "United States", "2017"], ["Deep Adaptive Feature Embedding with Local Sample Distributions 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"], ["Improving Person Re-identification by Attribute and Identity Learning", "", "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"], ["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"], ["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"], ["Computer Vision \u2013 ECCV 2018", "Hebrew University of Jerusalem, Jerusalem, Israel", "Hebrew University of Jerusalem", "The Hebrew University of Jerusalem", "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "31.79185550", "35.24472300", "edu", "", "Israel", "2018"], ["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"], ["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"], ["Face Verification and Face Image Synthesis under Illumination Changes using Neural Networks by", "", "Hebrew University of Jerusalem", "The Hebrew University of Jerusalem", "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e2\u05d1\u05e8\u05d9\u05ea \u05d1\u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, Reagan Plaza, \u05e7\u05e8\u05d9\u05ea \u05de\u05e0\u05d7\u05dd \u05d1\u05d2\u05d9\u05df, \u05d4\u05e8 \u05d4\u05e6\u05d5\u05e4\u05d9\u05dd, \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, \u05de\u05d7\u05d5\u05d6 \u05d9\u05e8\u05d5\u05e9\u05dc\u05d9\u05dd, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", "31.79185550", "35.24472300", "edu", "", "Israel", "2017"], ["Beyond Eleven Color Names for Image Understanding", "Key Laboratory of Information Fusion Technology, Northwestern Polytechnical University, Xi\u2019an, China", "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", "2017"], ["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"], ["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"], ["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"], ["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", ""], ["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"], ["Real-time pedestrian warning system on highway using deep learning methods", "South China University of Technology, Guang Zhou, China", "South China University of Technology", "South China University of Technology", "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "23.05020420", "113.39880323", "edu", "", "China", "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"], ["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"], ["Deep Mutual Learning", "", "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", "2017"], ["Articulated Motion and Deformable Objects", "University of Surrey, Guildford, United Kingdom", "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", "2014"], ["Person re-identification using salient region matching game", "School of Software, Henan University, Kaifeng, China", "Nanjing University of Posts and Telecommunications", "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "32.10574800", "118.93170100", "edu", "", "China", "2017"], ["Joint Semantic and Latent Attribute Modelling for Cross-Class Transfer Learning", "London, United Kingdom", "London, United Kingdom", "London, United Kingdom", "London, Greater London, England, SW1A 2DU, UK", "51.50732190", "-0.12764740", "edu", "", "United Kingdom", "2018"], ["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", "", "China", "2017"], ["Vehicle Re-Identification with the Space-Time Prior", "", "National Taiwan University", "National Taiwan University", "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "25.01682835", "121.53846924", "edu", "", "Taiwan", ""], ["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", ""], ["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"], ["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"], ["Easy Identification from Better Constraints : Multi-Shot Person Re-Identification from Reference Constraints", "", "Chinese Academy of Science", "Chinese Academy of Science", "52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China", "39.91063270", "116.33563210", "edu", "", "China", ""], ["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"], ["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"], ["Learning face similarity for re-identification from real surveillance video: A deep metric solution", "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", "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"], ["Rate-Performance-Loss Optimization for Inter-Frame Deep Feature Coding From Videos", "National Engineering Laboratory for Video Technology, School of Electronics Engineering and Computer Science, 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", "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"], ["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"], ["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"], ["Efficient large scale near-duplicate video detection base on spark", "State Post Bureau Safety Supervision Center, Beijing, 100091, China", "State Post Bureau Safety Supervision Center, Beijing, 100091, China", "State Post Bureau Safety Supervision Center, Beijing, 100091, China", "Beijing, China", "39.90419990", "116.40739630", "edu", "", "China", "2016"], ["Person Re-Identification With Metric Learning Using Privileged Information", "UBTech Sydney Artificial Intelligence Institute, The University of Sydney, Darlington, NSW, Australia", "UBTech Sydney Artificial Intelligence Institute", "UBTech Sydney Artificial Intelligence Institute", "Camperdown NSW 2006, Australia", "-33.88858400", "151.18734730", "edu", "", "Australia", "2018"], ["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"], ["Learning Efficient Image Representation 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", "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"], ["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"], ["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"], ["Cross-View Discriminative Feature Learning for Person Re-Identification", "Research Division, Anyvision, Belfast, U.K.", "Research Division, Anyvision, Belfast, U.K.", "Research Division, Anyvision, Belfast, U.K.", "Belfast, UK", "54.59728500", "-5.93012000", "edu", "", "United Kingdom", "2018"], ["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"], ["Transfer 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", "2017"], ["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", "", "China", "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"], ["Statistical Inference of Gaussian-Laplace Distribution for Person Verification", "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", "2017"], ["GLAD: Global-Local-Alignment Descriptor for Pedestrian Retrieval", "", "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"], ["Features for Multi-Target Multi-Camera Tracking and 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"], ["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"], ["Knowledge Science, Engineering and Management", "Universit\u00e0 di Trento, Povo, Italy", "Universit\u00e0 di Trento, Povo, Italy", "Universit\u00e0 di Trento, Povo, Italy", "Via Sommarive, 14, 38123 Povo TN, Italy", "46.06559770", "11.15084150", "edu", "", "Italy", "2018"], ["Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification", "", "Charles Sturt University", "Charles Sturt University", "Charles Sturt University, Wagga Wagga, NSW, 2678, Australia", "-35.06360710", "147.35522340", "edu", "", "Australia", "2018"], ["Learning Multiple Kernel Metrics for Iterative Person Re-Identification", "Soochow University, Suzhou, China", "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"], ["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"], ["Deep Feature Embedding Learning for Person Re-Identification Using Lifted Structured Loss", "School of Electronic Engineering, Xidian University, Xian, Shaanxi, 710071, 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"], ["Deep Cross-Modality Alignment for Multi-Shot Person Re-IDentification", "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", "2017"], ["Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based 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"], ["Person Reidentification via Discrepancy Matrix and Matrix Metric", "School of Computer Science, China University of Geosciences, 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", "2017"], ["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"], ["Person re-identification by deep MAX pooling network", "Engineering Research Center of Wideband Wireless Communication Technique, Ministry of Education, Nanjing University of Posts and Telecommunications, Nanjing 210003, China", "Nanjing University of Posts and Telecommunications", "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "32.10574800", "118.93170100", "edu", "", "China", "2017"], ["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", "", "United Kingdom", "2017"], ["Challenges on Large Scale Surveillance Video Analysis", "", "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", ""], ["Person Re-Identification by Weighted Integration of Sparse and Collaborative Representation", "School of Cyber Security, 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", "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"], ["Video-based Person Re-identification Using Spatial-Temporal Attention Networks", "", "University of Manitoba", "University of Manitoba", "University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada", "49.80915360", "-97.13304179", "edu", "", "Canada", "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"], ["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"], ["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"], ["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"], ["Adaptively Weighted Multi-task Deep Network for Person Attribute Classification", "", "Fudan University", "Fudan University", "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "31.30104395", "121.50045497", "edu", "", "China", "2017"], ["A Discriminatively Learning Model with Illumination Transfer for Inter-Camera Pedestrians Association", "Fuzhou University, Fuzhou, Fujian, China", "Fuzhou University", "Fuzhou University, Fuzhou, China", "Xueyuan Rd, LiMing ShangQuan, Gulou Qu, Fuzhou Shi, Fujian Sheng, China, 350001", "26.08185050", "119.28650170", "edu", "", "China", "2018"], ["A Spatial and Temporal Features Mixture Model with Body Parts for Video-based Person Re-Identification", "", "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", "2018"], ["Computer Vision \u2013 ECCV 2016", "University of Trento, Povo -  Trento, Italy", "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", "2016"], ["Consistent-Aware Deep Learning for Person Re-identification in a Camera Network", "", "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"], ["Dependence-Aware Feature Coding for Person Re-Identification", "School of Computer Software, Tianjin University, Tianjin, China", "Tianjin University", "Tianjin University", "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "36.20304395", "117.05842113", "edu", "", "China", "2018"], ["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"], ["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", ""], ["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"], ["Attribute-Aware Attention Model for Fine-grained Representation Learning", "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"], ["TAR: Enabling Fine-Grained Targeted Advertising in Retail Stores", "University of Southern California", "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", "2018"], ["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"], ["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", "", "Australia", "2018"], ["HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis", "", "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", "2017"], ["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"], ["Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle 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", "2017"], ["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"], ["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"], ["Graph Correspondence Transfer 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"], ["Coarse-to-fine : A RNN-based hierarchical attention model for vehicle re-identification ?", "", "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", "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"], ["Salient Region-Based Least-Squares Log-Density Gradient Clustering for Image-To-Video Person Re-Identification", "College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China", "Nanjing University of Posts and Telecommunications", "College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China", "9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046", "32.10574800", "118.93170100", "edu", "", "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"], ["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"], ["Transductive Centroid Projection for Semi-supervised Large-Scale Recognition", "", "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"], ["P2SNet: Can an Image Match a Video for Person Re-Identification in an End-to-End Way?", "School of Data and Computer Science, 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"], ["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"], ["Deep Supervised Hashing with Pairwise Bit Loss", "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", "2017"], ["Group-Sensitive Triplet Embedding for Vehicle Reidentification", "Institute of Digital Media, 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"], ["Deep Attributes Driven Multi-Camera 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", "2016"], ["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"], ["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"], ["Density-Adaptive Kernel based Re-Ranking for Person Re-Identification", "", "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"], ["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"], ["Semi-supervised Region Metric Learning for Person Re-identification", "School of Data and Computer Science, 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"], ["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"], ["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"], ["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"], ["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"], ["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"], ["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", ""], ["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", ""], ["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"], ["VP-ReID: Vehicle and Person Re-Identification System", "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"], ["Person Re-Identification with Correspondence Structure Learning", "", "Microsoft Research Asia", "Microsoft Research Asia", "1 Memorial Dr, Cambridge, MA 02142, USA", "42.36142560", "-71.08120920", "company", "", "United States", "2015"], ["Clothing Change Aware Person Identification", "", "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", "", "United States", ""], ["A Progressive Vehicle Search System for Video Surveillance Networks", "Beijing University of Posts and Telecommunications, Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, 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"], ["Trajectory Factory: Tracklet Cleaving and Re-Connection by Deep Siamese Bi-GRU for Multiple Object Tracking", "", "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"], ["Unsupervised Learning of Multi-Level Descriptors 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", "2017"], ["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"], ["Towards a Principled Integration of Multi-camera Re-identification and Tracking Through Optimal Bayes Filters", "", "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"], ["A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training", "", "Shanghai, China", "Shanghai, China", "Shanghai, China", "31.23039040", "121.47370210", "edu", "", "", "2018"], ["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"], ["A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects", "", "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"], ["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"], ["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"], ["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"], ["Unsupervised Cross-dataset Person Re-identification by Transfer Learning of Spatial-Temporal Patterns", "", "South China University of Technology", "South China University of Technology", "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "23.05020420", "113.39880323", "edu", "", "China", "2018"], ["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"], ["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"], ["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", "", "China", "2018"], ["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", "", "China", "2018"]]}