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authorjules@lens <julescarbon@gmail.com>2019-02-13 13:56:33 +0100
committerjules@lens <julescarbon@gmail.com>2019-02-13 13:56:33 +0100
commit091267722c34e23ec0263c7ac0e294e2ca0586ca (patch)
treeeb9b3f1e09ee494c8c6e0b7f2d92d4993027d527 /site/datasets/citations/sarc3d.json
parent857a8a5f13fa63e7cbc56bfee0361c8c02860424 (diff)
new build
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-rw-r--r--site/datasets/citations/sarc3d.json2
1 files changed, 1 insertions, 1 deletions
diff --git a/site/datasets/citations/sarc3d.json b/site/datasets/citations/sarc3d.json
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@@ -1 +1 @@
-{"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": "https://pdfs.semanticscholar.org/e27e/f52c641c2b5100a1b34fd0b819e84a31b4df.pdf", "report_link": "papers/e27ef52c641c2b5100a1b34fd0b819e84a31b4df.html", "citation_count": 29, "citations_geocoded": 4, "citations_unknown": 25, "citations_empty": 3, "citations_pdf": 17, "citations_doi": 11, "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", "", 2012], ["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"], ["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", "", 2012], ["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", "", 2015]]} \ No newline at end of file
+{"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": "https://pdfs.semanticscholar.org/e27e/f52c641c2b5100a1b34fd0b819e84a31b4df.pdf", "report_link": "papers/e27ef52c641c2b5100a1b34fd0b819e84a31b4df.html", "citation_count": 29, "citations_geocoded": 4, "citations_unknown": 25, "citations_empty": 3, "citations_pdf": 17, "citations_doi": 12, "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", "", 2012], ["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"], ["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", "", 2012], ["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", "", 2015]]} \ No newline at end of file