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Diffstat (limited to 'site/datasets/citations/sarc3d.json')
| -rw-r--r-- | site/datasets/citations/sarc3d.json | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/site/datasets/citations/sarc3d.json b/site/datasets/citations/sarc3d.json index ad3d2f9f..f9bdafff 100644 --- a/site/datasets/citations/sarc3d.json +++ b/site/datasets/citations/sarc3d.json @@ -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": {"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 +{"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]]}
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