summaryrefslogtreecommitdiff
path: root/site/datasets/citations/3dpes.json
diff options
context:
space:
mode:
authorjules@lens <julescarbon@gmail.com>2019-02-18 13:53:18 +0100
committerjules@lens <julescarbon@gmail.com>2019-02-18 13:53:18 +0100
commit3fc5bb42b0dd94b56d0f11b1568d30a1ff835629 (patch)
tree0a56e7f9cb84bda15a6e3074d1eba8312cc058f5 /site/datasets/citations/3dpes.json
parentb28f65ad5016ba3c3c9f973bd2a64ea3c8a3f84c (diff)
rebuild everything
Diffstat (limited to 'site/datasets/citations/3dpes.json')
-rw-r--r--site/datasets/citations/3dpes.json2
1 files changed, 1 insertions, 1 deletions
diff --git a/site/datasets/citations/3dpes.json b/site/datasets/citations/3dpes.json
index dbbb4b04..3b3ab0a5 100644
--- a/site/datasets/citations/3dpes.json
+++ b/site/datasets/citations/3dpes.json
@@ -1 +1 @@
-{"id": "2e8d0f1802e50cccfd3c0aabac0d0beab3a7846e", "paper": {"paperId": "2e8d0f1802e50cccfd3c0aabac0d0beab3a7846e", "key": "3dpes", "title": "3DPeS: 3D people dataset for surveillance and forensics", "journal": "", "address": "", "address_type": "", "lat": "", "lng": "", "pdf_link": "http://doi.acm.org/10.1145/2072572.2072590", "report_link": "papers/2e8d0f1802e50cccfd3c0aabac0d0beab3a7846e.html", "citation_count": 122, "citations_geocoded": 21, "citations_unknown": 101, "citations_empty": 11, "citations_pdf": 71, "citations_doi": 51, "name": "3DPeS"}, "address": null, "citations": [["Scale-Adaptive Low-Resolution Person Re-Identification via Learning a Discriminating Surface", "", "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", "", 2016], ["Learning Deep Feature Representations with Domain Guided Dropout 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", "", 2016], ["Person Reidentification and Recognition in Video", "", "University of South Florida", "University of South Florida", "University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA", "28.05999990", "-82.41383619", "edu", "", "2014"], ["Learning to rank in person re-identification with metric ensembles", "", "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", "", 2015], ["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"], ["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", "", 2017], ["Person Re-Identification with Correspondence Structure Learning", "", "Microsoft Research Asia", "Microsoft Live Labs Research, China", "China, Beijing Shi, Haidian Qu, Zhichun Rd, 49\u53f7\u5e0c\u683c\u739b709\u53f7 \u90ae\u653f\u7f16\u7801: 100080", "39.97721700", "116.33763200", "company", "", 2015], ["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", "", "2018"], ["Open-set 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", "", 2014], ["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], ["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", "", ""], ["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", "", 2016], ["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", "", "2017"], ["Adversarial Open-World Person Re-Identification", "", "Sun Yat-Sen University", "Sun Yat-Sen University", "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "23.09461185", "113.28788994", "edu", "", "2018"], ["Deep Transfer Metric Learning", "", "Nanyang Technological University", "Nanyang Technological University", "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "1.34841040", "103.68297965", "edu", "", 2015], ["Trajectory Ensemble: Multiple Persons Consensus Tracking Across Non-overlapping Multiple Cameras over Randomly Dropped Camera Networks", "", "Nagoya University", "Nagoya University", "SuperDARN (Hokkaido West), \u592a\u8f9b\u7b2c1\u652f\u7dda\u6797\u9053, \u9678\u5225\u753a, \u8db3\u5bc4\u90e1, \u5341\u52dd\u7dcf\u5408\u632f\u8208\u5c40, \u5317\u6d77\u9053, \u5317\u6d77\u9053\u5730\u65b9, \u65e5\u672c", "43.53750985", "143.60768225", "edu", "", 2017], ["Deep learning prototype domains for person re-identification", "", "Queen Mary University of London", "Queen Mary University of London", "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "51.52472720", "-0.03931035", "edu", "", "2017"], ["Attention-Aware Compositional Network for Person Re-identification", "", "University of Sydney", "University of Sydney", "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "-33.88890695", "151.18943366", "edu", "", "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", "", "2018"], ["Scalable Metric Learning via Weighted Approximate Rank Component Analysis", "", "IDIAP Research Institute", "IDIAP Research Institute", "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "46.10923700", "7.08453549", "edu", "", 2016], ["Unsupervised Person Re-identification by Deep Learning Tracklet Association", "", "Queen Mary University of London", "Queen Mary University of London", "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "51.52472720", "-0.03931035", "edu", "", "2018"]]} \ No newline at end of file
+{"id": "2e8d0f1802e50cccfd3c0aabac0d0beab3a7846e", "paper": {"paperId": "2e8d0f1802e50cccfd3c0aabac0d0beab3a7846e", "key": "3dpes", "title": "3DPeS: 3D people dataset for surveillance and forensics", "journal": "Unknown", "address": "", "address_type": "", "lat": "", "lng": "", "pdf_link": null, "report_link": "papers/2e8d0f1802e50cccfd3c0aabac0d0beab3a7846e.html", "citation_count": 122, "citations_geocoded": 57, "citations_unknown": 65, "citations_empty": 11, "citations_pdf": 71, "citations_doi": 51, "name": "3DPeS"}, "address": null, "citations": [["Scale-Adaptive Low-Resolution Person Re-Identification via Learning a Discriminating Surface", "", "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", "", "2016"], ["An Ensemble of Invariant Features for Person Reidentification", "Huawei Research and Development, Santa Clara, CA, USA", "Huawei Research and Development, Santa Clara, CA, USA", "Huawei Research and Development, Santa Clara, CA, USA", "2330 Central Expy, Santa Clara, CA 95050, USA", "37.37344400", "-121.96487270", "edu", "", "2017"], ["Viewpoint Invariant Human Re-Identification in Camera Networks Using Pose Priors and Subject-Discriminative Features", "", "Member", "Member", "1322 N Inglewood Ave, Coffeyville, KS 67337, USA", "37.05826350", "-95.67914910", "edu", "", "2015"], ["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"], ["Cross-Scenario Transfer Person Reidentification", "School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China", "Sun Yat-Sen University", "Sun Yat-Sen University", "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "23.09461185", "113.28788994", "edu", "", "2016"], ["A method of multi-criteria set recognition based on deep feature representation", "State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China", "State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China", "State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China", "Hangzhou, Zhejiang, China", "30.27408400", "120.15507000", "edu", "", "2017"], ["Multi-Task Learning with Low Rank Attribute Embedding for Multi-Camera Person Re-Identification", "Peking University, Beijing, China", "Peking University", "Peking University", "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "39.99223790", "116.30393816", "edu", "", "2018"], ["Learning Deep Feature Representations with Domain Guided Dropout 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", "", "2016"], ["Run-Based Connected Components Labeling Using Double-Row Scan", "Graduate School at Shenzhen, Tsinghua University, Shenzhen, 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"], ["Person Reidentification and Recognition in Video", "", "University of South Florida", "University of South Florida", "University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA", "28.05999990", "-82.41383619", "edu", "", "2014"], ["Ranking-Embedded Transfer Canonical Correlation Analysis for Person Re-Identification", "State Key Laboratory of High Performance Computing, National University of Defense Technology, Changsha, Hunan, 410073, P.R. China", "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", "edu", "", "2018"], ["Deep feature representation and multiple metric ensembles for person re-identification in security surveillance system", "School of Computer and Information, Hefei University of Technology, Hefei, China", "Hefei University of Technology", "Hefei University of Technology", "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "31.84691800", "117.29053367", "edu", "", "2017"], ["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"], ["Learning to rank in person re-identification with metric ensembles", "", "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", "", "2015"], ["Robust and Efficient Graph Correspondence Transfer for Person Re-identification", "", "Member", "Member", "1322 N Inglewood Ave, Coffeyville, KS 67337, USA", "37.05826350", "-95.67914910", "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"], ["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"], ["Graph Correspondence Transfer for Person Re-Identification", "", "China", "China", "China", "35.86166000", "104.19539700", "edu", "", "2018"], ["Anchored Kernel Metric Learning", "School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, 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", "", "2016"], ["Video-Based Human Behavior Understanding: A Survey", "Department of Information Engineering and Computer Science, University of Trento, 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", "", "2013"], ["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"], ["Person Re-Identification with Correspondence Structure Learning", "", "Microsoft Research Asia", "Microsoft Live Labs Research, China", "China, Beijing Shi, Haidian Qu, Zhichun Rd, 49\u53f7\u5e0c\u683c\u739b709\u53f7 \u90ae\u653f\u7f16\u7801: 100080", "39.97721700", "116.33763200", "company", "", "2015"], ["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", "", "2018"], ["Camera calibration parameters for oriented person re-identification", "University of Alcal\u00e1, Alcal\u00e1 de Henares, Spain", "University of Alcal\u00e1", "GRAM, University of Alcal\u00e1, Alcal\u00e1 de Henares, Spain", "Plaza de San Diego, s/n, 28801 Alcal\u00e1 de Henares, Madrid, Spain", "40.48247220", "-3.36286740", "edu", "", "2015"], ["Joint ACM workshop on human gesture and behavior understanding: (J-HGBU'11)", "Universit\u00e0 di Modena e Reggio Emilia, Modena, Italy", "University of Glasgow", "University of Glasgow", "University of Glasgow, University Avenue, Yorkhill, Hillhead, Glasgow, Glasgow City, Scotland, G, UK", "55.87231535", "-4.28921784", "edu", "", "2011"], ["A complete person re-identification model using Kernel-PCA-based Gabor-filtered hybrid descriptors", "Department of Computer Science and Engineering, Christ University, Bengaluru, India", "India", "India", "India", "20.59368400", "78.96288000", "edu", "", "2018"], ["Relative Distance Metric Leaning Based on Clustering Centralization and Projection Vectors Learning for Person Re-Identification", "School of Information Science and Engineering, Changzhou University, Changzhou, China", "China", "China", "China", "35.86166000", "104.19539700", "edu", "", "2018"], ["Open-set Person Re-identification", "", "China", "China", "China", "35.86166000", "104.19539700", "edu", "", "2014"], ["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"], ["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"], ["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", "", ""], ["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", "", "2016"], ["Transfer for Person Re-identification", "", "China", "China", "China", "35.86166000", "104.19539700", "edu", "", "2017"], ["Person re-identification with content and context re-ranking", "National Engineering Research Center for Multimedia Software, School of Computer, Wuhan University, Wuhan, People\u2019s Republic of 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", "", "2014"], ["An ensemble of invariant features for person re-identification", "SW Content Research Laboratory, ETRI, 218 Gajeong-ro, Yuseong-gu, Daejeon 305-700, S. Korea", "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"], ["Adversarial Open-World Person Re-Identification", "", "Sun Yat-Sen University", "Sun Yat-Sen University", "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "23.09461185", "113.28788994", "edu", "", "2018"], ["Dual Channel Gradient feature for person re-identification", "College of Command Information Systems, PLA University of Science &amp; Technology, Nanjing, China", "PLA University of Science &amp; Technology", "College of Command Information Systems, PLA University of Science &amp; Technology, Nanjing, China", "China, \u53cc\u9f99\u885760\u53f7", "31.97090700", "118.81289890", "edu", "", "2016"], ["Person Re-Identification by Saliency Learning", "", "Member", "Member", "1322 N Inglewood Ave, Coffeyville, KS 67337, USA", "37.05826350", "-95.67914910", "edu", "", "2016"], ["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"], ["Weighted hybrid features for person re-identification", "School of Electrical Engineering and Computer Science, National University of Sciences and Technology, Islamabad, Pakistan", "National University of Sciences and Technology", "National University of Sciences and Technology", "National University of Sciences and Technology (NUST), Kashmir Highway, \u062c\u06cc - 10, ICT, \u0648\u0641\u0627\u0642\u06cc \u062f\u0627\u0631\u0627\u0644\u062d\u06a9\u0648\u0645\u062a \u0627\u0633\u0644\u0627\u0645 \u0622\u0628\u0627\u062f, 44000, \u200f\u067e\u0627\u06a9\u0633\u062a\u0627\u0646\u200e", "33.64434700", "72.98850790", "edu", "", "2017"], ["Deep Transfer Metric Learning", "", "Nanyang Technological University", "Nanyang Technological University", "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "1.34841040", "103.68297965", "edu", "", "2015"], ["Trajectory Ensemble: Multiple Persons Consensus Tracking Across Non-overlapping Multiple Cameras over Randomly Dropped Camera Networks", "", "Nagoya University", "Nagoya University", "SuperDARN (Hokkaido West), \u592a\u8f9b\u7b2c1\u652f\u7dda\u6797\u9053, \u9678\u5225\u753a, \u8db3\u5bc4\u90e1, \u5341\u52dd\u7dcf\u5408\u632f\u8208\u5c40, \u5317\u6d77\u9053, \u5317\u6d77\u9053\u5730\u65b9, \u65e5\u672c", "43.53750985", "143.60768225", "edu", "", "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"], ["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", "", "2017"], ["Attention-Aware Compositional Network for Person Re-identification", "", "University of Sydney", "University of Sydney", "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "-33.88890695", "151.18943366", "edu", "", "2018"], ["People tracking in multi-camera systems: a review", "SeaTech School, Toulon University, La Garde, France", "Toulon University", "SeaTech School, Toulon University, La Garde, France", "\u00c9cole d\u2019Ing\u00e9nieurs SeaTech - Universit\u00e9 de Toulon, Avenue de l'Universit\u00e9, 83130 La Garde, France", "43.13643020", "6.01254200", "edu", "", "2018"], ["Camera compensation using feature projection matrix for person re-identification", "School of Computer and Control Engineering, University of Chinese Academy of Sciences, Beijing, 100190, 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", "", "2013"], ["Evaluating features for person re-identification", "College of Command Information Systems, PLA University of Science &amp; Technology, Nanjing, China", "PLA University of Science &amp; Technology", "College of Command Information Systems, PLA University of Science &amp; Technology, Nanjing, China", "China, \u53cc\u9f99\u885760\u53f7", "31.97090700", "118.81289890", "edu", "", "2016"], ["Camera Compensation Using a Feature Projection Matrix for Person Reidentification", "School of Computer and Control Engineering, 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", "", "2014"], ["YACCLAB - Yet Another Connected Components Labeling Benchmark", "Dipartimento di Ingegneria &#x201C;Enzo Ferrari&#x201D;, Universit&#x00E0; degli Studi di Modena e Reggio Emilia, 41125, Italy", "Universit\u00e0 degli Studi di Modena e Reggio Emilia, Italy", "Dipartimento di Ingegneria &#x201C;Enzo Ferrari&#x201D;, Universit&#x00E0; degli Studi di Modena e Reggio Emilia, 41125, Italy", "Via P. Vivarelli, 10, 41125 Modena MO, Italy", "44.62918470", "10.94879780", "edu", "", "2016"], ["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"], ["CMV100: A dataset for people tracking and re-identification in sparse camera networks", "Center for Machine Vision Research, University of Oulu", "University of Oulu", "University of Oulu", "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "65.05921570", "25.46632601", "edu", "", "2012"], ["Co-training on multi-view unlabelled data", "Kingston University, London, United Kingdom", "Kingston University", "Kingston University", "Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK", "51.42930860", "-0.26840440", "edu", "", "2012"], ["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", "", "2018"], ["Image and Graphics", "UNSW, Sydney, Australia", "UNSW", "UNSW, Sydney, Australia", "Sydney NSW 2052, Australia", "-33.91734700", "151.23126750", "edu", "", "2017"], ["Scalable Metric Learning via Weighted Approximate Rank Component Analysis", "", "IDIAP Research Institute", "IDIAP Research Institute", "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "46.10923700", "7.08453549", "edu", "", "2016"], ["Unsupervised Person Re-identification by Deep Learning Tracklet Association", "", "Queen Mary University of London", "Queen Mary University of London", "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "51.52472720", "-0.03931035", "edu", "", "2018"]]} \ No newline at end of file