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diff --git a/site/datasets/citations/duke_mtmc.json b/site/datasets/citations/duke_mtmc.json index 1fe35be7..e69de29b 100644 --- a/site/datasets/citations/duke_mtmc.json +++ b/site/datasets/citations/duke_mtmc.json @@ -1 +0,0 @@ -{"id": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "paper": {"paperId": "27a2fad58dd8727e280f97036e0d2bc55ef5424c", "key": "duke_mtmc", "title": "Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking", "journal": "Unknown", "address": "", "country": "", "address_type": "", "lat": "", "lng": "", "pdf_link": "https://arxiv.org/pdf/1609.01775.pdf", "report_link": "papers/27a2fad58dd8727e280f97036e0d2bc55ef5424c.html", "citation_count": 136, "citations_geocoded": 79, "citations_unknown": 57, "citations_empty": 7, "citations_pdf": 108, "citations_doi": 27, "name": "Duke MTMC"}, "address": null, "citations": [["Learning Discriminative Features with Multiple Granularities for Person Re-Identification", "", "Shanghai Jiao Tong University", "Shanghai Jiao Tong University", "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "31.20081505", "121.42840681", "edu", "", "China", "2018"], ["Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification", "", "Duke University", "Duke University", "Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA", "35.99905220", "-78.92906290", "edu", "", "United States", "2018"], ["The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking", "", "University of Texas at San Antonio", "University of Texas at San Antonio", "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "29.58333105", "-98.61944505", "edu", "", "United States", "2018"], ["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"], ["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"], ["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"], ["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"], ["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"], ["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"], ["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", "", "United States", "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", "", "Turkey", "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"], ["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"], ["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"], ["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"], ["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"], ["Exploit the Unknown Gradually : One-Shot Video-Based Person Re-Identification by Stepwise Learning", "", "University of Sydney", "University of Sydney", "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "-33.88890695", "151.18943366", "edu", "", "Australia", "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"], ["NCA-Net for Tracking Multiple Objects across Multiple Cameras", "", "Huazhong University of Science and Technology", "Huazhong University of Science and Technology", "\u534e\u4e2d\u5927, \u73de\u55bb\u8def, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a, \u5173\u4e1c\u8857\u9053, \u4e1c\u6e56\u65b0\u6280\u672f\u5f00\u53d1\u533a\uff08\u6258\u7ba1\uff09, \u6d2a\u5c71\u533a (Hongshan), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430074, \u4e2d\u56fd", "30.50975370", "114.40628810", "edu", "", "China", "2018"], ["Incremental Deep Hidden Attribute Learning", "National Institute of Informatics, Japan, Tokyo, Japan", "National Institute of Informatics, Japan", "National Institute of Informatics, Japan", "2 Chome-1-\uff12 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan", "35.69248530", "139.75825330", "edu", "", "Japan", "2018"], ["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"], ["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", "", "China", "2018"], ["A Pose-Sensitive Embedding for Person Re-Identification with Expanded Cross Neighborhood Re-Ranking", "", "Karlsruhe Institute of Technology", "Karlsruhe Institute of Technology", "KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-W\u00fcrttemberg, 76351, Deutschland", "49.10184375", "8.43312560", "edu", "", "Germany", "2017"], ["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 Multi-Object Tracking with Dual Matching Attention Networks", "", "University of California", "University of California", "Berkeley, CA, USA", "37.87189920", "-122.25853990", "edu", "", "United States", "2018"], ["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"], ["Reasonably Assign Label Distributions to GAN Images in Person Re-Identification Baseline*", "Beijing Jiaotong University, School of Computer and Information Technology, Beijing, China", "Beijing Jiaotong University", "Beijing Jiaotong University", "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "39.94976005", "116.33629046", "edu", "", "China", "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"], ["Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects", "", "University of Oxford", "University of Oxford", "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "51.75345380", "-1.25400997", "edu", "", "United Kingdom", "2018"], ["Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models", "", "University of Campinas", "University of Campinas", "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "-27.59539950", "-48.61542180", "edu", "", "Brazil", "2018"], ["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"], ["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"], ["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"], ["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"], ["Part-Aligned Bilinear Representations for Person Re-identification", "", "Microsoft", "Microsoft Corporation, Redmond, WA, USA", "One Microsoft Way, Redmond, WA 98052, USA", "47.64233180", "-122.13693020", "company", "", "United States", "2018"], ["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"], ["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"], ["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", "", "China", "2018"], ["OSMO: Online Specific Models for Occlusion in Multiple Object Tracking under Surveillance Scene", "Peking University, Beijing, China", "Peking University", "Peking University", "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "39.99223790", "116.30393816", "edu", "", "China", "2018"], ["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", ""], ["Scaling Video Analytics Systems to Large Camera Deployments", "", "Microsoft", "Microsoft Corporation, Redmond, WA, USA", "One Microsoft Way, Redmond, WA 98052, USA", "47.64233180", "-122.13693020", "company", "", "United States", "2018"], ["Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro", "", "University of Technology Sydney", "University of Technology Sydney", "University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia", "-33.88096510", "151.20107299", "edu", "", "Australia", "2017"], ["ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Enterprise Scale", "", "Microsoft", "Microsoft Corporation, Redmond, WA, USA", "One Microsoft Way, Redmond, WA 98052, USA", "47.64233180", "-122.13693020", "company", "", "United States", "2018"], ["WILDTRACK : A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection", "", "ETH Zurich", "ETH Zurich", "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "47.37631300", "8.54766990", "edu", "", "Switzerland", "2018"], ["Robust video editing detection using Scalable Color and Color Layout Descriptors", "Advanced Virtual and Intelligent Computing (AVIC) Center, Department of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, Bangkok, Thailand", "Chulalongkorn University", "Chulalongkorn University", "\u0e08\u0e38\u0e2c\u0e32\u0e25\u0e07\u0e01\u0e23\u0e13\u0e4c\u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22, 254, \u0e16\u0e19\u0e19\u0e1e\u0e0d\u0e32\u0e44\u0e17, \u0e2a\u0e22\u0e32\u0e21, \u0e41\u0e02\u0e27\u0e07\u0e1b\u0e17\u0e38\u0e21\u0e27\u0e31\u0e19, \u0e40\u0e02\u0e15\u0e1b\u0e17\u0e38\u0e21\u0e27\u0e31\u0e19, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10330, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "13.74311795", "100.53287901", "edu", "", "Thailand", "2017"], ["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", ""], ["Horizontal Pyramid Matching for Person Re-identification", "", "University of Illinois, Urbana-Champaign", "University of Illinois, Urbana-Champaign", "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "40.11116745", "-88.22587665", "edu", "", "United States", "2018"], ["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"], ["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", ""], ["The WILDTRACK Multi-Camera Person Dataset", "", "ETH Zurich", "ETH Zurich", "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "47.37631300", "8.54766990", "edu", "", "Switzerland", "2017"], ["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"], ["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"], ["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"], ["PathTrack: Fast Trajectory Annotation with Path Supervision", "", "ETH Zurich", "ETH Zurich", "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "47.37631300", "8.54766990", "edu", "", "Switzerland", "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"], ["Fusion of Head and Full-Body Detectors for Multi-Object Tracking", "", "Technical University Munich", "Technical University Munich", "TUM, 21, Arcisstra\u00dfe, Bezirksteil K\u00f6nigsplatz, Stadtbezirk 03 Maxvorstadt, M\u00fcnchen, Obb, Bayern, 80333, Deutschland", "48.14955455", "11.56775314", "edu", "", "Germany", "2017"], ["A Dataset for Persistent Multi-target Multi-camera Tracking in RGB-D", "", "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"], ["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"], ["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"], ["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", ""], ["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"], ["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"], ["Self Attention Grid for Person Re-Identification", "", "University of Electronic Science and Technology of China", "University of Electronic Science and Technology of China", "Columbus, OH 43210, USA", "40.01419050", "-83.03091430", "edu", "", "United States", "2018"], ["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"], ["Rapid Pedestrian Detection Based on Deep Omega-Shape Features with Partial Occlusion Handing", "School of Automation Engineering, 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", "", "United States", "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"], ["Precise Regression for Bounding Box Correction for Improved Tracking Based on Deep Reinforcement Learning", "school of Electrical and Computer Engineering, Korea University, Seoul, Korea", "Korea University", "Korea University", "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "37.59014110", "127.03623180", "edu", "", "South Korea", "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", "", "Australia", "2019"], ["A computationally efficient pipeline for camera-based indoor person tracking", "Department of Electrical and Computer Engineering, University of Auckland", "University of Auckland", "University of Auckland", "Auckland 1010, New Zealand", "-36.85233780", "174.76910730", "edu", "", "", "2017"], ["Person Transfer GAN to Bridge Domain Gap for Person Re-Identification", "", "University of Texas at San Antonio", "University of Texas at San Antonio", "UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA", "29.58333105", "-98.61944505", "edu", "", "United States", "2017"], ["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"], ["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"], ["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"], ["In Defense of the Classification Loss for Person Re-Identification", "", "Microsoft Research Asia", "Microsoft Research Asia", "1 Memorial Dr, Cambridge, MA 02142, USA", "42.36142560", "-71.08120920", "company", "", "United States", "2018"], ["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"], ["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", ""], ["Multi-Object Tracking with Correlation Filter for Autonomous Vehicle", "", "National University of Defense Technology, China", "National University of Defence Technology, Changsha 410000, China", "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "28.22902090", "112.99483204", "mil", "", "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"]]}
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