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diff --git a/site/datasets/citations/prw.json b/site/datasets/citations/prw.json index a6cc4329..f43be508 100644 --- a/site/datasets/citations/prw.json +++ b/site/datasets/citations/prw.json @@ -1 +1 @@ -{"id": "0b84f07af44f964817675ad961def8a51406dd2e", "paper": {"paperId": "0b84f07af44f964817675ad961def8a51406dd2e", "key": "prw", "title": "Person Re-identification in the Wild", "journal": "2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)", "address": "University of Technology Sydney", "address_type": "edu", "lat": "-33.88096510", "lng": "151.20107299", "pdf_link": "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.357", "report_link": "papers/0b84f07af44f964817675ad961def8a51406dd2e.html", "citation_count": 65, "citations_geocoded": 25, "citations_unknown": 40, "citations_empty": 1, "citations_pdf": 46, "citations_doi": 0, "name": "PRW"}, "address": ["University of Technology Sydney", "University of Technology Sydney", "University of Technology Sydney, 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"51.52472720", "-0.03931035", "edu", ""], ["POI: Multiple Object Tracking with High Performance Detection and Appearance Feature", "", "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"], ["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", ""], ["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", ""]]}
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USA", "One Microsoft Way, Redmond, WA 98052, USA", "47.64233180", "-122.13693020", "company", "", "2018"], ["Person Re-Identification with Vision and Language", "", "University of Surrey", "University of Surrey", "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "51.24303255", "-0.59001382", "edu", "", 2017], ["Understanding and Controlling User Linkability in Decentralized Learning", "Max Planck Institute for Informatics", "Max Planck Institute for Informatics", "Max Planck Institute for Informatics", "MPII, E1 4, Campus, Universit\u00e4t, Sankt Johann, Bezirk Mitte, Saarbr\u00fccken, Regionalverband Saarbr\u00fccken, Saarland, 66123, Deutschland", "49.25795660", "7.04577417", "edu", "", "2018"], ["Deep learning prototype domains for person re-identification", "", "Queen Mary University of London", "Queen Mary University of London", "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower 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"51.52472720", "-0.03931035", "edu", "", "2018"], ["POI: Multiple Object Tracking with High Performance Detection and Appearance Feature", "", "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", 2016], ["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"], ["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]]}
\ No newline at end of file |