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Diffstat (limited to 'site/datasets/citations/agedb.json')
| -rw-r--r-- | site/datasets/citations/agedb.json | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/site/datasets/citations/agedb.json b/site/datasets/citations/agedb.json index c3b03885..bebfda04 100644 --- a/site/datasets/citations/agedb.json +++ b/site/datasets/citations/agedb.json @@ -1 +1 @@ -{"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 +{"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": "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf", "report_link": "papers/6dcf418c778f528b5792104760f1fbfe90c6dd6a.html", "citation_count": 11, "citations_geocoded": 10, "citations_unknown": 1, "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", "", "2018"], ["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", "", "China", "China", "China", "35.86166000", "104.19539700", "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"], ["Recovering Joint and Individual Components in Facial Data", "Onfido, London, United Kingdom", "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"]]}
\ No newline at end of file |