diff options
Diffstat (limited to 'site/datasets/citations/alert_airport.json')
| -rw-r--r-- | site/datasets/citations/alert_airport.json | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/site/datasets/citations/alert_airport.json b/site/datasets/citations/alert_airport.json index 6fc763e6..8861e67d 100644 --- a/site/datasets/citations/alert_airport.json +++ b/site/datasets/citations/alert_airport.json @@ -1 +1 @@ -{"id": "6403117f9c005ae81f1e8e6d1302f4a045e3d99d", "paper": {"paperId": "6403117f9c005ae81f1e8e6d1302f4a045e3d99d", "key": "alert_airport", "title": "A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets.", "journal": "IEEE transactions on pattern analysis and machine intelligence", "address": "", "country": "", "address_type": "", "lat": "", "lng": "", "pdf_link": "https://arxiv.org/pdf/1605.09653.pdf", "report_link": "papers/6403117f9c005ae81f1e8e6d1302f4a045e3d99d.html", "citation_count": 15, "citations_geocoded": 7, "citations_unknown": 8, "citations_empty": 1, "citations_pdf": 10, "citations_doi": 5, "name": "ALERT Airport"}, "address": null, "citations": [["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", "", "United States", ""], ["Human Recognition by Appearance and Gait", "NRU Higher School of Economics, Moscow, Russia", "Moscow State University", "Moscow State University", "ul. Leninskiye Gory, 1, Moskva, Russia, 119991", "55.70393490", "37.52866960", "edu", "", "Russia", "2018"], ["Learning Compositional Visual Concepts with Mutual Consistency", "", "Cornell University", "Cornell University", "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "42.45055070", "-76.47835130", "edu", "", "United States", "2017"], ["CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification", "University of Science and Technology of China, Hefei, China", "University of Science and Technology of China", "University of Science and Technology of China", "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "31.83907195", "117.26420748", "edu", "", "China", "2018"], ["Attention in Multimodal Neural Networks for Person Re-identification", "", "Aalborg University", "Aalborg University", "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "57.01590275", "9.97532827", "edu", "", "Denmark", ""], ["Person re-identification with fusion of hand-crafted and deep pose-based body region features", "", "Singapore", "Singapore", "Singapore", "1.35208300", "103.81983600", "edu", "", "Singapore", "2018"], ["Person Search in Videos with One Portrait Through Visual and Temporal Links", "", "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", "China", "2018"]]}
\ No newline at end of file +{"id": "6403117f9c005ae81f1e8e6d1302f4a045e3d99d", "paper": {"key": "alert_airport", "name": "ALERT Airport", "title": "A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets.", "year": "2018"}, "address": {}, "citations": [{"id": "fae76d0e710545972807f18e45936ec5c6f1fe5d", "title": "RPIfield : A New Dataset for Temporally Evaluating Person Re-Identification \u2217", "addresses": [{"name": "Rensselaer Polytechnic Institute", "source_name": "Rensselaer Polytechnic Institute", "street_adddress": "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "lat": "42.72984590", "lng": "-73.67950216", "type": "edu", "country": "United States"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/fae7/6d0e710545972807f18e45936ec5c6f1fe5d.pdf"]}, {"id": "b54ed594267ead88b99bed3230e0453f54d00873", "title": "Human Recognition by Appearance and Gait", "addresses": [{"name": "Moscow State University", "source_name": "Moscow State University", "street_adddress": "ul. Leninskiye Gory, 1, Moskva, Russia, 119991", "lat": "55.70393490", "lng": "37.52866960", "type": "edu", "country": "Russia"}], "year": "2018", "pdf": []}, {"id": "bd379f8e08f88729a9214260e05967f4ca66cd65", "title": "Learning Compositional Visual Concepts with Mutual Consistency", "addresses": [{"name": "Cornell University", "source_name": "Cornell University", "street_adddress": "Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA", "lat": "42.45055070", "lng": "-76.47835130", "type": "edu", "country": "United States"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.06148.pdf"]}, {"id": "aecb2c5b26c4a66fb241a966237fa6f50679a5ca", "title": "CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification", "addresses": [{"name": "University of Science and Technology of China", "source_name": "University of Science and Technology of China", "street_adddress": "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "lat": "31.83907195", "lng": "117.26420748", "type": "edu", "country": "China"}], "year": "2018", "pdf": []}, {"id": "5a672a0e5c95dd70041989d60672b7b2017f7018", "title": "Attention in Multimodal Neural Networks for Person Re-identification", "addresses": [{"name": "Aalborg University", "source_name": "Aalborg University", "street_adddress": "AAU, Pontoppidanstr\u00e6de, S\u00f8nder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark", "lat": "57.01590275", "lng": "9.97532827", "type": "edu", "country": "Denmark"}], "year": "", "pdf": ["https://pdfs.semanticscholar.org/5a67/2a0e5c95dd70041989d60672b7b2017f7018.pdf"]}, {"id": "70ce1a17f257320fc718d61964b21e7aeabd8cd5", "title": "Person re-identification with fusion of hand-crafted and deep pose-based body region features", "addresses": [{"name": "Singapore", "source_name": "Singapore", "street_adddress": "Singapore", "lat": "1.35208300", "lng": "103.81983600", "type": "edu", "country": "Singapore"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10630.pdf"]}, {"id": "c97a5f2241cc6cd99ef0c4527ea507a50841f60b", "title": "Person Search in Videos with One Portrait Through Visual and Temporal Links", "addresses": [{"name": "Chinese University of Hong Kong", "source_name": "Chinese University of Hong Kong", "street_adddress": "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "lat": "22.41626320", "lng": "114.21093180", "type": "edu", "country": "China"}, {"name": "Tsinghua University", "source_name": "Tsinghua University", "street_adddress": "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "lat": "40.00229045", "lng": "116.32098908", "type": "edu", "country": "China"}, {"name": "SenseTime", "source_name": "SenseTime", "street_adddress": "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "lat": "39.99300800", "lng": "116.32988200", "type": "company", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10510.pdf"]}]}
\ No newline at end of file |