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"40.47913175", "-74.43168868", "edu", "", "2014"], ["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"], ["Constrained Deep Metric Learning for Person Re-identification", "", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", "", "2015"], ["Cross Dataset Person Re-identification", "", "China", "China", "China", "35.86166000", "104.19539700", "edu", "", "2014"], ["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"], ["Person Search in a Scene by Jointly Modeling People Commonness and Person Uniqueness", "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", "", "2014"], ["Triplet CNN and pedestrian attribute recognition for improved person re-identification", "Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, France", "University of Lyon", "Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, F-69621, France", "20 Avenue Albert Einstein, 69100 Villeurbanne, France", "45.78332440", "4.87819840", "edu", "", "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", "", "2018"], ["Re-ranking pedestrian re-identification with multiple Metrics", "School of Electronic Information Engineering, Hebei University of Technology, Tianjin, China", "China", "China", "China", "35.86166000", "104.19539700", "edu", "", "2018"], ["Multi-Perspective Tracking for Intelligent Vehicle", "School of Engineering and Applied Science, Harvard University, Cambridge, MA, USA", "Harvard University", "Harvard University", "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "42.36782045", "-71.12666653", "edu", "", "2018"], ["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"], ["Simultaneous visual-appearance-level and spatial-temporal-level dictionary learning for video-based person re-identification", "School of computer, 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", "", "2018"], ["Unsupervised Cross-Dataset Transfer Learning for Person Re-identification", "", "China", "China", "China", "35.86166000", "104.19539700", "edu", "", "2016"], ["Group Membership Prediction", "", "Boston University", "Boston University", "BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA", "42.35042530", "-71.10056114", "edu", "", "2015"], ["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", "", "2016"], ["Person Re-identification by Salience Matching", "", "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", "", "2013"], ["Person re-identification by the asymmetric triplet and identification loss function", "The Institute of Artificial Intelligence and Robotic, School of Electronic and Information Engineering, Xi\u2019an Jiaotong University, Shaanxi, China", "China", "China", "China", "35.86166000", "104.19539700", "edu", "", "2017"], ["Learning patch-dependent kernel forest for person re-identification", "", "University of Tennessee", "University of Tennessee", "University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA", "35.95424930", "-83.93073950", "edu", "", "2016"], ["Metric learning with trace-norm regularization for person re-identification", "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", "", "2014"], ["Person Re-identification Meets Image Search.", "", "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", "", "2015"], ["A framework with updateable joint images re-ranking for Person Re-identification.", "", "China", "China", "China", "35.86166000", "104.19539700", "edu", "", "2018"], ["Kernelized Saliency-Based Person Re-Identification Through Multiple Metric Learning", "", "Member", "Member", "1322 N Inglewood Ave, Coffeyville, KS 67337, USA", "37.05826350", "-95.67914910", "edu", "", "2015"], ["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", "", "2017"], ["Cross-Dataset Person Re-identification Using Similarity Preserved Generative Adversarial Networks", "", "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", "", "2018"], ["Low Resolution Face Recognition in the Wild", "", "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", "", "2018"], ["A Multi-task Deep Network for Person Re-identification", "", "University of Dundee", "University of Dundee", "University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK", "56.45796755", "-2.98214831", "edu", "", "2017"], ["A Two-Stage Approach for Bag Detection in Pedestrian Images", "", "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", "", "2014"], ["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", "", "2017"], ["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", "", "2016"], ["Person re-identification via person DPM based partition", "National Digital Switching System Engineering and Technological Research and Development Center, Zhengzhou, China", "China", "China", "China", "35.86166000", "104.19539700", "edu", "", "2016"], ["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"], ["Person re-identification based on CCN feature representations learning", "School of Automation and Electrical Engineering, University of Science & Technology Beijing, Beijing, China", "China", "China", "China", "35.86166000", "104.19539700", "edu", "", "2017"], ["Toward facial re-identification: Experiments with data from an operational surveillance camera plant", "Department of Computer Science and Engineering, University of Notre Dame", "University of Notre Dame", "University of Notre Dame", "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "41.70456775", "-86.23822026", "edu", "", "2016"], ["Versatile loitering detection based on non-verbal cues using dense trajectory descriptors", "Centre for Image Processing and Pattern Recognition, Department of Electronics and Communication Engineering, Mepco Schlenk Engineering College, Sivakasi, India", "India", "India", "India", "20.59368400", "78.96288000", "edu", "", "2018"], ["0 Multi Channel-Kernel Canonical Correlation Analysis for Cross-View Person Re-Identification", "", "University of Southern California", "University of Southern California", "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "34.02241490", "-118.28634407", "edu", "", "2017"], ["Corrections to \u201cRelevance Metric Learning for Person Re-Identification by Exploiting Listwise Similarities\u201d [Dec 15 4741-4755]", "State Key Laboratory of Virtual Reality Technology and Systems, 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", "", "2015"], ["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"], ["Deep multi-instance learning for end-to-end person re-identification", "School of Information Science and Technology, Jiujiang University, Jiujiang, China", "China", "China", "China", "35.86166000", "104.19539700", "edu", "", "2017"], ["Ranking Optimization for Person Re-identification via Similarity and Dissimilarity", "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, 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"2017"], ["Person Re-Identi fi cation by Robust Canonical Correlation Analysis", "", "Member", "Member", "1322 N Inglewood Ave, Coffeyville, KS 67337, USA", "37.05826350", "-95.67914910", "edu", "", "2015"], ["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", "", ""], ["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", "", "2018"], ["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", "", "2016"], ["Domain-adversarial training of neural networks", "", "Russia", "Russia", "Russia", "61.52401000", "105.31875600", "edu", "", "2016"], ["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", "", "2017"], ["Towards unsupervised open-set person re-identification", "Queen Mary University of London", "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", "", "2016"], ["On-Road Pedestrian Tracking Across Multiple Driving Recorders", "Information Processing Lab, Department of Electrical Engineering, University of Washington, Seattle, WA, USA", "University of Washington", "University of Washington", "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "47.65432380", "-122.30800894", "edu", "", "2015"], ["Improving Person Re-identification by Body Parts Segmentation Generated by GAN", "Beijing Key Laboratory of Big Data Management and Analysis Methods, School of Information, Renmin University of China, Beijing, 100872, China", "China", "China", "China", "35.86166000", "104.19539700", "edu", "", "2018"], ["Human Semantic Parsing for Person Re-identification", "", "Istanbul Technical University", "Istanbul Technical University", "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "41.10427915", "29.02231159", "edu", "", "2018"], ["Similarity Learning with Top-heavy Ranking Loss for Person Re-identification", "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", "", "2016"], ["Multi-Channel Pyramid Person Matching Network for Person Re-Identification", "", "China", "China", "China", "35.86166000", "104.19539700", "edu", "", "2018"], ["Fast Person Re-identification via Cross-Camera Semantic Binary Transformation", "", "University of East Anglia", "University of East Anglia", "Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK", "52.62215710", "1.24091360", "edu", "", "2017"], ["Person Re-identification by Multi-hypergraph Fusion", "National Key Laboratory of Science and Technology on Multi-spectral Information Processing, School of Automation, Huazhong University of Science and Technology, Wuhan, China", "Huazhong University of Science and Technology", "Huazhong University of Science and Technology", "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "30.50975370", "114.40628810", "edu", "", "2017"], ["Towards more reliable matching for person re-identification", "School of Information Science and Technology, Sun Yat-sen University, China", "Sun Yat-Sen University", "Sun Yat-Sen University", "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "23.09461185", "113.28788994", "edu", "", "2015"], ["DeepReID: Deep Filter Pairing Neural Network for 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", "", "2014"], ["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", "", "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", "", "2018"], ["Person Re-Identification by Robust Canonical Correlation Analysis", "", "Member", "Member", "1322 N Inglewood Ave, Coffeyville, KS 67337, USA", "37.05826350", "-95.67914910", "edu", "", "2015"], ["Person Re-identification by Video Ranking", "", "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", "", "2014"], ["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"], ["Person Re-Identification Using Kernel-Based Metric Learning Methods", "", "Northeastern University", "Northeastern University", "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "42.33836680", "-71.08793524", "edu", "", "2014"], ["Exemplar-Guided Similarity Learning on Polynomial Kernel Feature Map for Person Re-identification", "Xi\u2019an Jiaotong University, Xi\u2019an, Shaanxi, China", "China", "China", "China", "35.86166000", "104.19539700", "edu", "", "2017"], ["Scalable Person Re-identification: A Benchmark", "", "University of Texas at San Antonio", "University of Texas at San Antonio", "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "29.58333105", "-98.61944505", "edu", "", "2015"], ["Datum-Adaptive Local Metric Learning for Person Re-identification", "Multimedia Communication and Pattern Recognition Labs, Beijing Key Laboratory of Network System and Network Culture, 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", "", "2015"], ["A novel stereo matching approach for pedestrian re-identification", "Department of Electrical Engineering, Indian Institute of Science, Bangalore, India", "Indian Institute of Science Bangalore", "Indian Institute of Science 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