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diff --git a/site/datasets/citations/lfw.json b/site/datasets/citations/lfw.json index 286d5557..ba0e96ab 100644 --- a/site/datasets/citations/lfw.json +++ b/site/datasets/citations/lfw.json @@ -1 +1 @@ -{"id": "7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22", "paper": {"paperId": "7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22", "key": "lfw", "title": "Labeled Faces in the Wild: A Survey", "journal": "", "address": "", "address_type": "", "lat": "", "lng": "", "pdf_link": "http://pdfs.semanticscholar.org/7de6/e81d775e9cd7becbfd1bd685f4e2a5eebb22.pdf", "report_link": "papers/7de6e81d775e9cd7becbfd1bd685f4e2a5eebb22.html", "citation_count": 99, "citations_geocoded": 22, "citations_unknown": 77, "citations_empty": 9, "citations_pdf": 63, "citations_doi": 36, "name": "LFW"}, "address": null, "citations": [["Learning to Anonymize Faces for Privacy Preserving Action Detection", "", "University of California, Davis", "University of California, Davis", "University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA", "38.53363490", "-121.79077264", "edu", "", "2018"], ["Pose-Selective Max Pooling for Measuring Similarity", "", "Johns Hopkins University", "Johns Hopkins University, 3400 N. 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"-95.67914910", "edu", "", "2018"], ["Dependency-Aware Attention Control for Unconstrained Face Recognition with Image Sets", "", "Hong Kong Polytechnic University", "Hong Kong Polytechnic University", "hong kong, 11, \u80b2\u624d\u9053 Yuk Choi Road, \u5c16\u6c99\u5480 Tsim Sha Tsui, \u6cb9\u5c16\u65fa\u5340 Yau Tsim Mong District, \u4e5d\u9f8d Kowloon, HK, 00000, \u4e2d\u56fd", "22.30457200", "114.17976285", "edu", "", "2018"], ["Regularized metric adaptation for unconstrained face verification", "Center for Automation Research, UMIACS, University of Maryland, College Park, 20740, United States of America", "University of Maryland", "University of Maryland", "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "39.28996850", "-76.62196103", "edu", "", "2016"], ["Dense Face Alignment", "", "Michigan State University", "Michigan State University", "Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA", "42.71856800", 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Dijon, FRANCE", "UFR Sciences et Techniques, all\u00e9e Alain Savary, 21000 Dijon, France", "47.31256900", "5.07361200", "edu", "", "2018"], ["The Do\u2019s and Don\u2019ts for CNN-Based Face Verification", "", "University of Maryland", "University of Maryland", "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "39.28996850", "-76.62196103", "edu", "", "2017"], ["Computer face-matching technology using two-dimensional photographs accurately matches the facial gestalt of unrelated individuals with the same syndromic form of intellectual disability", "", "6", "6", "Independence, KS 67301, USA", "37.09024000", "-95.71289100", "edu", "", "2017"], ["DeepGait : A Learning Deep Convolutional Representation for View-Invariant Gait Recognition Using Joint Bayesian", "", "Zhejiang University of Technology", "Zhejiang University of Technology", "\u6d59\u6c5f\u5de5\u4e1a\u5927\u5b66, \u6f6e\u738b\u8def, \u671d\u6656\u8857\u9053, \u676d\u5dde\u5e02 Hangzhou, 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Fine-Grained Image Generation through Asymmetric Training", "", "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", "", "2017"], ["How to Train Triplet Networks with 100K Identities?", "", "China", "China", "China", "35.86166000", "104.19539700", "edu", "", "2017"], ["Deep neural networks and maximum likelihood search for approximate nearest neighbor in video-based image recognition", "National Research University Higher School of Economics, Laboratory of Algorithms and Technologies for Network Analysis, Nizhny Novgorod, Russia", "Russia", "Russia", "Russia", "61.52401000", "105.31875600", "edu", "", "2017"], ["B-Face: 0.2 MW CNN-Based Face Recognition Processor with Face Alignment for Mobile User Identification", "School of EE, KAIST, Yuseong-gu, Daejeon, Republic of Korea", "KAIST", "KAIST", "291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea", "36.37214270", "127.36039000", "edu", "", "2018"]]}
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