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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/agedb.json
parent857a8a5f13fa63e7cbc56bfee0361c8c02860424 (diff)
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-{"id": "6dcf418c778f528b5792104760f1fbfe90c6dd6a", "paper": {"paperId": "6dcf418c778f528b5792104760f1fbfe90c6dd6a", "key": "agedb", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "journal": "2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)", "address": "", "address_type": "", "lat": "", "lng": "", "pdf_link": "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "report_link": "papers/6dcf418c778f528b5792104760f1fbfe90c6dd6a.html", "citation_count": 11, "citations_geocoded": 9, "citations_unknown": 2, "citations_empty": 0, "citations_pdf": 10, "citations_doi": 1, "name": "AgeDB"}, "address": null, "citations": [["Marginal Loss for Deep Face Recognition", "Imperial College London", "Imperial College London", "Imperial College London", "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "51.49887085", "-0.17560797", "edu", "", 2017], ["Longitudinal Face Aging in the Wild - Recent Deep Learning Approaches", "Concordia University", "Concordia University", "Concordia University", "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "45.57022705", "-122.63709346", "edu", "", 2018], ["Speeding-Up Age Estimation in Intelligent Demographics System via Network Optimization", "School of Computer and Information, Hefei University of Technology, Hefei, China", "Hefei University of Technology", "Hefei University of Technology", "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "31.84691800", "117.29053367", "edu", "", "2018"], ["ArcFace: Additive Angular Margin Loss for Deep Face Recognition", "Imperial College London", "Imperial College London", "Imperial College London", "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "51.49887085", "-0.17560797", "edu", "", 2018], ["Multi-Attribute Robust Component Analysis for Facial UV Maps", "Middlesex University London, London, UK", "Middlesex University", "Middlesex University", "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "51.59029705", "-0.22963221", "edu", "", 2017], ["Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition", "", "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", "", "2018"], ["Visual Data Augmentation through Learning", "Middlesex University London, UK", "Middlesex University", "Middlesex University", "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "51.59029705", "-0.22963221", "edu", "", 2018], ["MobileFaceNets: Efficient CNNs for Accurate Real-time Face Verification on Mobile Devices", "School of Computer and Information Technology, Beijing Jiaotong University, Beijing", "Beijing Jiaotong University", "Beijing Jiaotong University", "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "39.94976005", "116.33629046", "edu", "", "2018"], ["Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition", "", "Tencent", "Tencent AI Lab, China", "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "22.54471540", "113.93571640", "company", "Keji Middle 1st Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "2018"]]} \ No newline at end of file
+{"id": "6dcf418c778f528b5792104760f1fbfe90c6dd6a", "paper": {"paperId": "6dcf418c778f528b5792104760f1fbfe90c6dd6a", "key": "agedb", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "journal": "2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)", "address": "", "address_type": "", "lat": "", "lng": "", "pdf_link": "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "report_link": "papers/6dcf418c778f528b5792104760f1fbfe90c6dd6a.html", "citation_count": 11, "citations_geocoded": 9, "citations_unknown": 2, "citations_empty": 0, "citations_pdf": 10, "citations_doi": 1, "name": "AgeDB"}, "address": null, "citations": [["Marginal Loss for Deep Face Recognition", "", "Imperial College London", "Imperial College London", "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "51.49887085", "-0.17560797", "edu", "", 2017], ["Longitudinal Face Aging in the Wild - Recent Deep Learning Approaches", "", "Concordia University", "Concordia University", "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "45.57022705", "-122.63709346", "edu", "", 2018], ["Speeding-Up Age Estimation in Intelligent Demographics System via Network Optimization", "", "Nanyang Technological University", "Nanyang Technological University", "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "1.34841040", "103.68297965", "edu", "", "2018"], ["ArcFace: Additive Angular Margin Loss for Deep Face Recognition", "", "Imperial College London", "Imperial College London", "Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK", "51.49887085", "-0.17560797", "edu", "", 2018], ["Multi-Attribute Robust Component Analysis for Facial UV Maps", "", "University of London", "University of London", "Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK", "51.52176680", "-0.13019072", "edu", "", 2017], ["Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition", "", "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", "", "2018"], ["Visual Data Augmentation through Learning", "", "Middlesex University", "Middlesex University", "Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK", "51.59029705", "-0.22963221", "edu", "", 2018], ["MobileFaceNets: Efficient CNNs for Accurate Real-time Face Verification on Mobile Devices", "", "Beijing Jiaotong University", "Beijing Jiaotong University", "\u5317\u4eac\u4ea4\u901a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100044, \u4e2d\u56fd", "39.94976005", "116.33629046", "edu", "", "2018"], ["Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition", "", "Tencent", "Tencent AI Lab, China", "Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "22.54471540", "113.93571640", "company", "Keji Middle 1st Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057", "2018"]]} \ No newline at end of file