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authoradamhrv <adam@ahprojects.com>2018-12-16 19:38:54 +0100
committeradamhrv <adam@ahprojects.com>2018-12-16 19:38:54 +0100
commit23e9fef5dce8b0b15dd94713816b9d7d45f12356 (patch)
tree3ca9ffe3adce76318450991bfc613073470b604c /site/datasets/citations/sarc3d.json
parent759027d5fbfd6665082f72a3ceaeef68c2d2142e (diff)
parent6431d06048791763f3644b3a0457cc9c4f1df6d3 (diff)
Merge branch 'master' of github.com:adamhrv/megapixels_dev
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+{"id": "e27ef52c641c2b5100a1b34fd0b819e84a31b4df", "paper": {"paperId": "e27ef52c641c2b5100a1b34fd0b819e84a31b4df", "key": "sarc3d", "title": "SARC3D: A New 3D Body Model for People Tracking and Re-identification", "journal": "Unknown", "address": "", "address_type": "", "lat": "", "lng": "", "pdf_link": {"url": "https://pdfs.semanticscholar.org/e27e/f52c641c2b5100a1b34fd0b819e84a31b4df.pdf", "linkType": "s2"}, "report_link": "papers/e27ef52c641c2b5100a1b34fd0b819e84a31b4df.html", "citation_count": 29, "citations_geocoded": 4, "citations_unknown": 25, "citations_empty": 3, "citations_pdf": 17, "citations_doi": 0, "name": "Sarc3D"}, "address": null, "citations": [["Person Re-identification by Efficient Impostor-Based Metric Learning", "", "Graz University of Technology", "Graz University of Technology", "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "47.05821000", "15.46019568", "edu", ""], ["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", ""], ["Relaxed Pairwise Learned Metric for Person Re-identification", "", "Graz University of Technology", "Graz University of Technology", "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "47.05821000", "15.46019568", "edu", ""], ["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", ""]]} \ No newline at end of file