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-{"id": "c0387e788a52f10bf35d4d50659cfa515d89fbec", "paper": {"paperId": "c0387e788a52f10bf35d4d50659cfa515d89fbec", "key": "mars", "title": "MARS: A Video Benchmark for Large-Scale Person Re-Identification", "journal": "", "address": "", "address_type": "", "lat": "", "lng": "", "pdf_link": "http://pdfs.semanticscholar.org/c038/7e788a52f10bf35d4d50659cfa515d89fbec.pdf", "report_link": "papers/c0387e788a52f10bf35d4d50659cfa515d89fbec.html", "citation_count": 146, "citations_geocoded": 49, "citations_unknown": 97, "citations_empty": 6, "citations_pdf": 96, "citations_doi": 49, "name": "MARS"}, "address": null, "citations": [["Resource 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", "", 2018], ["Spatial-Temporal Synergic Residual Learning for Video Person 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"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", "", "2018"], ["SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification", "", "Chinese University of Hong Kong", "The Chinese University of Hong Kong", "\u4e2d\u5927 CUHK, NA\u68af New Asia Stairs, \u99ac\u6599\u6c34 Ma Liu Shui, \u4e5d\u809a\u6751 Kau To Village, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1191, \u4e2d\u56fd", "22.42031295", "114.20788644", "edu", "", "2018"], ["Learning Compact Appearance Representation for Video-based Person Re-Identification", "", "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", 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["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", "", "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", "", "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", "", 2017], ["Pose 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Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "29.58333105", "-98.61944505", "edu", "", 2017], ["LVreID: Person Re-Identification with Long Sequence Videos", "", "Microsoft", "Microsoft Corporation, Redmond, WA, USA", "One Microsoft Way, Redmond, WA 98052, USA", "47.64233180", "-122.13693020", "company", "", 2017], ["Robust Anchor Embedding for Unsupervised Video Person re-IDentification in the Wild", "", "Hong Kong Baptist University", "Hong Kong Baptist University", "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "22.38742010", "114.20822220", "edu", "", "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", "", 2017], ["Multi-shot Person Re-identification through Set Distance with Visual Distributional Representation", "", "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", "", "2018"]]} \ No newline at end of file
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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", "", "2017"], ["Learning Affective Features With a Hybrid Deep Model for Audio\u2013Visual Emotion Recognition", "Institute of Digital Media, School of Electronic 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", "", "2018"], ["Image-to-Video Person Re-Identification With Temporally Memorized Similarity Learning", "ZTE Corporation, Shenzhen, China", "China", "China", "China", "35.86166000", "104.19539700", "edu", "", "2018"], ["Person Search in Videos with One Portrait Through Visual and Temporal Links", "", "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", "", "2018"], ["Localized multi-kernel discriminative canonical correlation analysis for video-based person re-identification", "Department of Automation, 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", "", "2017"], ["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", "", "2017"], ["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", "", "2017"], ["Part-Based Deep Hashing for Large-Scale Person Re-Identification", "", "Member", "Member", "1322 N Inglewood Ave, Coffeyville, KS 67337, USA", "37.05826350", "-95.67914910", "edu", "", "2017"], ["Group Re-Identification: Leveraging and Integrating Multi-Grain Information", "University of Chinese Academy of Sciences, Beijing, China", "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", "", "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", "", "2018"], ["Dual Attention Matching Network for Context-Aware Feature Sequence based Person Re-Identification", "", "China", "China", "China", "35.86166000", "104.19539700", "edu", "", "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", "", "2017"], ["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 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"China", "China", "China", "35.86166000", "104.19539700", "edu", "", "2018"], ["CamStyle: A Novel Data Augmentation Method for Person Re-Identification", "Research School of Computer Science, The Australian National University, Canberra, ACT, Australia", "Australian National University", "Australian National University", "Canberra ACT 0200, Australia", "-35.27769990", "149.11852700", "edu", "", "2019"], ["Deep salient-Gaussian Fisher vector encoding of the spatio-temporal trajectory structures for person re-identification", "REGIM: Research Groups on Intelligent Machines, University of Sfax, ENIS, Sfax, 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", "2018"], ["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", "", "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", "", ""], ["Sharp Attention Network via Adaptive Sampling for Person Re-identification", "", "Member", "Member", "1322 N Inglewood Ave, Coffeyville, KS 67337, USA", "37.05826350", "-95.67914910", "edu", "", "2018"], ["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", "", "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", "", "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", "", "2018"], ["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", "", ""], ["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", "", "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", "", "2018"], ["SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification", "", "Chinese University of Hong Kong", "The Chinese University of Hong Kong", "\u4e2d\u5927 CUHK, NA\u68af New Asia Stairs, \u99ac\u6599\u6c34 Ma Liu Shui, \u4e5d\u809a\u6751 Kau To Village, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1191, \u4e2d\u56fd", "22.42031295", "114.20788644", "edu", "", "2018"], ["Learning Compact Appearance Representation for Video-based Person Re-Identification", "", "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", "", "2017"], ["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", "", "2018"], ["Part-Aligned Bilinear Representations for Person Re-identification", "", "Microsoft", "Microsoft", "7021 S Memorial Dr, Tulsa, OK 74133, USA", "36.06303740", "-95.88099660", "edu", "", "2018"], ["Occluded 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", "", "2018"], ["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", "edu", "", "2017"], ["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", "", "2017"], ["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", "", "2017"], ["Learning Affine Hull Representations for Multi-Shot Person Re-Identification", "Siemens Corporate Technology, Princeton, NJ, USA", "Siemens Corporate Technology, Princeton, NJ, USA", "Siemens Corporate Technology, Princeton, NJ, USA", "755 College Rd E, Princeton, NJ 08540, USA", "40.34420790", "-74.59245990", "edu", "", "2018"], ["Part-based Feature Extraction for Person Re-identification", "Department of automation, USTC, Hefei, China", "China", "China", "China", "35.86166000", "104.19539700", "edu", "", "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", "", "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", "", ""], ["Spatial Quality Aware Network for Video-Based Person Re-identification", "State Key Laboratory of Software Development Environment, School of Computer Science and Engineering, 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", "", "2017"], ["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", "", "2018"], ["A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets.", "", "Member", "Member", "1322 N Inglewood Ave, Coffeyville, KS 67337, USA", "37.05826350", "-95.67914910", "edu", "", "2018"], ["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", "", "2018"], ["Data Generation for Improving 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", "", "2017"], ["Person Depth ReID: Robust Person Re-identification with Commodity Depth Sensors", "", "UCLA", "University of California, Los Angeles", "Los Angeles, CA 90095, USA", "34.06892100", "-118.44518110", "edu", "", "2017"], ["Video Person Re-identification with Competitive Snippet-similarity Aggregation and Co-attentive Snippet Embedding", "", "Chinese University of Hong Kong", "The Chinese University of Hong Kong", "\u4e2d\u5927 CUHK, NA\u68af New Asia Stairs, \u99ac\u6599\u6c34 Ma Liu Shui, \u4e5d\u809a\u6751 Kau To Village, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1191, \u4e2d\u56fd", "22.42031295", "114.20788644", "edu", "", ""], ["STA: Spatial-Temporal Attention for Large-Scale Video-based 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", "", "2018"], ["Deeply-Learned Part-Aligned Representations for Person Re-identification", "", "Microsoft", "Microsoft", "7021 S Memorial Dr, Tulsa, OK 74133, USA", "36.06303740", "-95.88099660", "edu", "", "2017"], ["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", "", "2017"], ["Joint Person Re-identification and Camera Network Topology Inference in Multiple Cameras", "", "Member", "Member", "1322 N Inglewood Ave, Coffeyville, KS 67337, USA", "37.05826350", "-95.67914910", "edu", "", "2017"], ["Video Person Re-Identification by Temporal Residual Learning", "", "Member", "Member", "1322 N Inglewood Ave, Coffeyville, KS 67337, USA", "37.05826350", "-95.67914910", "edu", "", "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", "", "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", "", "2017"], ["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", "", "2018"], ["IAN: The Individual Aggregation Network for Person Search", "", "Member", "Member", "1322 N Inglewood Ave, Coffeyville, KS 67337, USA", "37.05826350", "-95.67914910", "edu", "", "2019"], ["Two-Stream Multirate Recurrent Neural Network for Video-Based Pedestrian Reidentification", "School of Information Science and Engineering, Shandong Normal University, Jinan, China", "China", "China", "China", "35.86166000", "104.19539700", "edu", "", "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", "2018"], ["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", "", "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", "", "2017"], ["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", "", "2018"], ["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", "", "2017"], ["Computer Vision \u2013 ECCV 2018", "Hebrew University of Jerusalem, Jerusalem, Israel", "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", "", "2018"], ["Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-identification", "", "Microsoft", "Microsoft", "7021 S Memorial Dr, Tulsa, OK 74133, USA", "36.06303740", "-95.88099660", "edu", "", "2018"], ["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", "", "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", "", "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", "", "2014"], ["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", "", "2017"], ["Dynamic Label Graph Matching for Unsupervised Video 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", "", "2017"], ["Algorithm 1 Dynamic Graph Matching ( DGM ) Input : Unlabelled features", "", "University of Technology Sydney", "University of Technology Sydney", "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "-33.88096510", "151.20107299", "edu", "", ""], ["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", "", ""], ["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", "", "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", "", ""], ["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", "", "2018"], ["Rank Persistence: Assessing the Temporal Performance of Real-World Person Re-Identification", "", "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", "", "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", "", "2017"], ["LVreID: Person Re-Identification with Long Sequence Videos", "", "Microsoft", "Microsoft", "7021 S Memorial Dr, Tulsa, OK 74133, USA", "36.06303740", "-95.88099660", "edu", "", "2017"], ["Video-based Person Re-identification via Self-Paced Learning and Deep Reinforcement Learning Framework", "University of Electronic Science and Technology of China, Chengdu, China", "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", "", "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", "", "2017"], ["Robust Anchor Embedding for Unsupervised Video Person re-IDentification in the Wild", "", "Hong Kong Baptist University", "Hong Kong Baptist University", "\u9999\u6e2f\u6d78\u6703\u5927\u5b78 Hong Kong Baptist University, \u5b89\u660e\u8857 On Ming Street, \u77f3\u9580 Shek Mun, \u77f3\u53e4\u58df Shek Kwu Lung, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1132, \u4e2d\u56fd", "22.38742010", "114.20822220", "edu", "", "2018"], ["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", "", "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", "", "2017"], ["Measuring the Temporal Behavior of Real-World Person Re-Identification", "", "Member", "Member", "1322 N Inglewood Ave, Coffeyville, KS 67337, USA", "37.05826350", "-95.67914910", "edu", "", "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", "", "2018"], ["Multi-shot Person Re-identification through Set Distance with Visual Distributional Representation", "", "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", "", "2018"]]} \ No newline at end of file