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diff --git a/site/datasets/citations/megaface.json b/site/datasets/citations/megaface.json index 8a118ed8..90b9b168 100644 --- a/site/datasets/citations/megaface.json +++ b/site/datasets/citations/megaface.json @@ -1 +1 @@ -{"id": "96e0cfcd81cdeb8282e29ef9ec9962b125f379b0", "paper": {"paperId": "96e0cfcd81cdeb8282e29ef9ec9962b125f379b0", "key": "megaface", "title": "The MegaFace Benchmark: 1 Million Faces for Recognition at Scale", "journal": "2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)", "address": "", "country": "", "address_type": "", "lat": "", "lng": "", "pdf_link": "https://arxiv.org/pdf/1512.00596.pdf", "report_link": "papers/96e0cfcd81cdeb8282e29ef9ec9962b125f379b0.html", "citation_count": 121, "citations_geocoded": 71, "citations_unknown": 50, "citations_empty": 9, "citations_pdf": 98, "citations_doi": 22, "name": "MegaFace"}, "address": null, "citations": [["Fast Face Image Synthesis with Minimal Training", "", "University of Notre Dame", "University of Notre Dame", "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "41.70456775", "-86.23822026", "edu", "", "United States", "2018"], ["Disguised Faces in the Wild", "", "University of Maryland", "University of Maryland", "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "39.28996850", "-76.62196103", "edu", "", "United States", "2018"], ["Deep Face Recognition: A Survey", "", "Beijing University of Posts and Telecommunications", "Beijing University of Posts and Telecommunications", "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "39.96014880", "116.35193921", "edu", "", "China", "2018"], ["FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition", "", "University of Maryland", "University of Maryland", "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "39.28996850", "-76.62196103", "edu", "", "United States", "2017"], ["NIRFaceNet: A Convolutional Neural Network for Near-Infrared Face Identification", "", "Southwest University", "Southwest University", "\u897f\u5357\u5927\u5b66, \u5929\u751f\u8def, \u5317\u789a\u533a (Beibei), \u5317\u789a\u533a, \u5317\u789a\u533a (Beibei), \u91cd\u5e86\u5e02, 400711, \u4e2d\u56fd", "29.82366295", "106.42050016", "edu", "", "China", "2016"], ["Continuous Biometric Verification for Non-Repudiation of Remote Services", "Department of Mathematics and Informatics, University of Florence, Florence, Italy", "University of Florence", "University of Florence", "Piazza di San Marco, 4, 50121 Firenze FI, Italy", "43.77764260", "11.25976500", "edu", "", "Italy", "2017"], ["Multi-task Deep Neural Network for Joint Face Recognition and Facial Attribute Prediction", "Fudan University, Shang Hai, China", "Fudan University", "Fudan University", "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "31.30104395", "121.50045497", "edu", "", "China", "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", "", "United States", "2018"], ["\u201cA Leopard Cannot Change Its Spots\u201d: Improving Face Recognition Using 3D-Based Caricatures", "Department of Computer Science, Instituto de Telecomunica\u00e7\u00f5es, University of Beira Interior, Covilh\u00e3, Portugal", "University of Beira Interior", "University of Beira Interior", "Universidade da Beira Interior, R. 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"1.34841040", "103.68297965", "edu", "", "Singapore", "2018"], ["A Deep Face Identification Network Enhanced by Facial Attributes Prediction", "", "West Virginia University", "West Virginia University", "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "39.65404635", "-79.96475355", "edu", "", "United States", "2018"], ["Not-So-CLEVR: learning same-different relations strains feedforward neural networks.", "", "Brown University", "Brown University", "Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA", "41.82686820", "-71.40123146", "edu", "", "United States", "2018"], ["Wildest Faces: Face Detection and Recognition in Violent Settings", "", "Middle East Technical University", "Middle East Technical University", "ODT\u00dc, 1, 1591.sk(315.sk), \u00c7i\u011fdem Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "39.87549675", "32.78553506", "edu", "", "Turkey", "2018"], ["Face Sketch Matching via Coupled Deep Transform Learning", "", "IIIT Delhi, India", "IIIT Delhi, India", "Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India", "28.54562820", "77.27315050", "edu", "", "India", "2017"], ["Computational Models of Face Perception.", "", "Ohio State University", "The Ohio State University", "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "40.00471095", "-83.02859368", "edu", "", "United States", "2017"], ["Face Attribute Prediction Using Off-The-Shelf Deep Learning Networks", "", "KTH Royal Institute of Technology, Stockholm", "KTH Royal Institute of Technology, Stockholm", "KTH, Teknikringen, L\u00e4rkstaden, Norra Djurg\u00e5rden, \u00d6stermalms stadsdelsomr\u00e5de, Sthlm, Stockholm, Stockholms l\u00e4n, Svealand, 114 28, Sverige", "59.34986645", "18.07063213", "edu", "", "Sweden", "2016"], ["The Devil of Face Recognition is in the Noise", "", "Nanyang Technological University", "Nanyang Technological University", "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "1.34841040", "103.68297965", "edu", "", "Singapore", "2018"], ["MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition", "Microsoft", "Microsoft", "Microsoft Corporation, Redmond, WA, USA", "One Microsoft Way, Redmond, WA 98052, USA", "47.64233180", "-122.13693020", "company", "", "United States", "2016"], ["Unsupervised Training for 3D Morphable Model Regression", "", "MIT CSAIL", "MIT CSAIL", "32 Vassar St, Cambridge, MA 02139, USA", "42.36194070", "-71.09043780", "edu", "", "United States", "2018"], ["Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans", "University of Maryland, College Park, Maryland 20740 United States", "University of Maryland", "University of Maryland", "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "39.28996850", "-76.62196103", "edu", "", "United States", "2018"], ["Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems", "", "University of Basel", "University of Basel", "Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra", "47.56126510", "7.57529610", "edu", "", "Switzerland", "2017"], ["Rethinking Feature Discrimination and Polymerization for Large-scale Recognition", "", "Chinese University of Hong Kong", "Chinese University of Hong Kong", "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "22.41626320", "114.21093180", "edu", "", "China", "2017"], ["Face Synthesis for Eyeglass-Robust Face Recognition", "", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "39.90828040", "116.24585270", "edu", "", "China", "2018"], ["Pose-Selective Max Pooling for Measuring Similarity", "", "Johns Hopkins University", "Johns Hopkins University", "Baltimore, MD 21218, USA", "39.32990130", "-76.62051770", "edu", "", "", "2016"], ["DIY Human Action Data Set Generation", "", "Simon Fraser University", "Simon Fraser University", "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "49.27674540", "-122.91777375", "edu", "", "Canada", "2018"], ["Ring loss: Convex Feature Normalization for Face Recognition", "", "Carnegie Mellon University", "Carnegie Mellon University", "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "37.41021930", "-122.05965487", "edu", "", "United States", "2018"], ["Trojaning Attack on Neural Networks", "", "Purdue University", "Purdue University", "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "40.43197220", "-86.92389368", "edu", "", "United States", "2018"], ["Unconstrained Face Detection and Open-Set Face Recognition Challenge", "", "University of Colorado, Colorado Springs", "University of Colorado Colorado Springs", "Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA", "38.89207560", "-104.79716389", "edu", "", "United States", "2017"], ["Boosting cross-age face verification via generative age normalization", "", "EURECOM", "EURECOM", "Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France", "43.61438600", "7.07112500", "edu", "", "France", "2017"], ["A Review Paper Between Open Source and Commercial SDK and Performance Comparisons of Face Matchers", "National Science and Technology Development Agency, National Electronics and Computer Technology Center, Pathum Thani, 12120, Thailand", "National Science and Technology Development Agency, Thailand", "National Science and Technology Development Agency, National Electronics and Computer Technology Center, 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Australia", "UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia", "-31.95040445", "115.79790037", "edu", "", "Australia", "2017"], ["Deep Transfer Network for Unconstrained Face Verification", "Beijing Institute of Graphic Communication, Beijing", "Beijing Institute of Graphic Communication, Beijing", "Beijing Institute of Graphic Communication, Beijing", "China, Beijing, Daxing, Qingyuan Rd, \u6e05\u6e90\u8def", "39.74388300", "116.33013400", "edu", "", "China", "2018"], ["Quantifying Facial Age by Posterior of Age Comparisons", "", "Chinese University of Hong Kong", "Chinese University of Hong Kong", "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "22.41626320", "114.21093180", "edu", "", "China", "2017"], ["EmotioNet Challenge: Recognition of facial expressions of emotion in the wild", "", "Ohio State University", "The Ohio State University", "The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA", "40.00471095", "-83.02859368", "edu", "", "United States", "2017"], ["UMDFaces: An annotated face dataset for training deep networks", "University of Maryland, College Park", "University of Maryland", "University of Maryland", "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "39.28996850", "-76.62196103", "edu", "", "United States", "2017"], ["Training Deep Face Recognition Systems with Synthetic Data", "", "University of Basel", "University of Basel", "Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra", "47.56126510", "7.57529610", "edu", "", "Switzerland", "2018"], ["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", "", "United Kingdom", "2017"], ["SphereFace: Deep Hypersphere Embedding for Face Recognition", "", "Sun Yat-Sen University", "Sun Yat-Sen University", "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "23.09461185", "113.28788994", "edu", "", "China", "2017"], ["Face Synthesis from Facial Identity Features", "", "University of Massachusetts", "University of Massachusetts", "University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA", "42.38897850", "-72.52869870", "edu", "", "United States", "2017"], ["Deep Features for Recognizing Disguised Faces in the Wild", "", "University of Maryland", "University of Maryland", "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "39.28996850", "-76.62196103", "edu", "", "United States", ""], ["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", "", "United States", "2017"], ["SREFI: Synthesis of realistic example face images", "", "University of Notre Dame", "University of Notre Dame", "University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA", "41.70456775", "-86.23822026", "edu", "", "United States", "2017"], ["GhostVLAD for set-based face recognition", "", "University of Oxford", "University of Oxford", "Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK", "51.75345380", "-1.25400997", "edu", "", "United Kingdom", "2018"], ["To Frontalize or Not To Frontalize: A Study of Face Pre-Processing Techniques and Their Impact on Recognition", "", "University of Ljubljana", "University of Ljubljana", "UL Fakulteta za ra\u010dunalni\u0161tvo in informatiko, 113, Ve\u010dna pot, Vrta\u010da, Ro\u017ena dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija", "46.05015580", "14.46907327", "edu", "", "Slovenia", "2016"], ["Clustering lightened deep representation for large scale face identification", "Beijing University of Posts and Telecommunications", "Beijing University of Posts and Telecommunications", "Beijing University of Posts and Telecommunications", "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "39.96014880", "116.35193921", "edu", "", "China", "2017"], ["MixedEmotions: An Open-Source Toolbox for Multimodal Emotion Analysis", "Siren Solutions, Dublin, Ireland", "Siren Solutions, Dublin, Ireland", "Siren Solutions, Dublin, Ireland", "Dublin, Ireland", "53.34980530", "-6.26030970", "company", "", "Ireland", "2018"], ["Pre-trained Deep Convolutional Neural Networks for Face Recognition", "", "University of Groningen", "University of Groningen", "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "53.21967825", "6.56251482", "edu", "", "Netherlands", "2018"], ["Toward End-to-End Face Recognition Through Alignment Learning", "", "Tsinghua University", "Tsinghua University", "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "40.00229045", "116.32098908", "edu", "", "China", "2017"], ["Face2Text: Collecting an Annotated Image Description Corpus for the Generation of Rich Face Descriptions", "", "University of Copenhagen", "University of Copenhagen", "K\u00f8benhavns Universitet, Krystalgade, K\u00f8dbyen, Vesterbro, K\u00f8benhavn, K\u00f8benhavns Kommune, Region Hovedstaden, 1165, Danmark", "55.68015020", "12.57232700", "edu", "", "Denmark", "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", "", "China", "2018"], ["A Dditive M Argin S Oftmax for F Ace V Erification", "", "University of Electronic Science and Technology of China", "University of Electronic Science and Technology of China", "Columbus, OH 43210, USA", "40.01419050", "-83.03091430", "edu", "", "United States", "2018"], ["Do We Really Need to Collect Millions of Faces for Effective Face Recognition?", "", "Open University of Israel", "Open University of Israel", "\u05d4\u05d0\u05d5\u05e0\u05d9\u05d1\u05e8\u05e1\u05d9\u05d8\u05d4 \u05d4\u05e4\u05ea\u05d5\u05d7\u05d4, 15, \u05d0\u05d1\u05d0 \u05d7\u05d5\u05e9\u05d9, \u05d7\u05d9\u05e4\u05d4, \u05d2\u05d1\u05e2\u05ea \u05d3\u05d0\u05d5\u05e0\u05e1, \u05d7\u05d9\u05e4\u05d4, \u05de\u05d7\u05d5\u05d6 \u05d7\u05d9\u05e4\u05d4, NO, \u05d9\u05e9\u05e8\u05d0\u05dc", 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