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diff --git a/site/datasets/citations/adience.json b/site/datasets/citations/adience.json index 3c7893b5..c63146a4 100644 --- a/site/datasets/citations/adience.json +++ b/site/datasets/citations/adience.json @@ -1 +1 @@ -{"id": "1be498d4bbc30c3bfd0029114c784bc2114d67c0", "paper": {"paperId": "1be498d4bbc30c3bfd0029114c784bc2114d67c0", "key": "adience", "title": "Age and Gender Estimation of Unfiltered Faces", "journal": "IEEE Transactions on Information Forensics and Security", "address": "", "address_type": "", "lat": "", "lng": "", "pdf_link": "http://www.openu.ac.il/home/hassner/Adience/EidingerEnbarHassner_tifs.pdf", "report_link": "papers/1be498d4bbc30c3bfd0029114c784bc2114d67c0.html", "citation_count": 168, "citations_geocoded": 48, "citations_unknown": 120, "citations_empty": 7, "citations_pdf": 90, "citations_doi": 78, "name": "Adience"}, "address": null, "citations": [["Are you eligible? 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Tennessee, USA", "35.93006535", "-84.31240032", "edu", "", "2016"], ["Squared Earth Mover \u2019 s Distance Loss for Training Deep Neural Networks on Ordered-Classes", "", "Stony Brook University", "Stony Brook University", "Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "40.91531960", "-73.12706260", "edu", "", "2017"], ["ConvNets with Smooth Adaptive Activation Functions for Regression", "", "Stony Brook University Hospital", "Stony Brook University Hospital", "Stony Brook University Hospital, 101, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA", "40.90826665", "-73.11520891", "edu", "", "2017"], ["Deep LDA-Pruned Nets for Efficient Facial Gender Classification", "", "McGill University", "McGill University", "McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montr\u00e9al, Agglom\u00e9ration de Montr\u00e9al, Montr\u00e9al (06), Qu\u00e9bec, H3A 3P8, Canada", "45.50397610", "-73.57496870", 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"University of Washington", "University of Washington", "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "47.65432380", "-122.30800894", "edu", "", "2016"], ["Unsupervised learning of overcomplete face descriptors", "", "University of Oulu", "University of Oulu", "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "65.05921570", "25.46632601", "edu", "", "2015"], ["Age and gender classification using local appearance descriptors from facial components", "University of Sassari, Computer Vision Laboratory, PolComing Viale Mancini, 5 07100 Sassari, Italy", "University of Sassari", "University of Sassari, Computer Vision Laboratory, PolComing Viale Mancini, 5 07100 Sassari, Italy", "Viale Pasquale Stanislao Mancini, 5, 07100 Sassari SS, Italy", "40.72401760", "8.55789470", "edu", "", "2017"], ["Deep Facial 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Samsung Advance Institute of Technology, Republic of Korea", "130 Samseong-ro, Maetan 3(sam)-dong, Yeongtong-gu, Suwon, Gyeonggi-do, South Korea", "37.25202260", "127.05550190", "company", "", "2018"], ["Quantifying Facial Age by Posterior of Age Comparisons", "", "Chinese University of Hong Kong", "The Chinese University of Hong Kong", "\u4e2d\u5927 CUHK, NA\u68af New Asia Stairs, \u99ac\u6599\u6c34 Ma Liu Shui, \u4e5d\u809a\u6751 Kau To Village, \u6c99\u7530\u5340 Sha Tin District, \u65b0\u754c New Territories, HK, DD193 1191, \u4e2d\u56fd", "22.42031295", "114.20788644", "edu", "", "2017"], ["Deep Age Estimation: From Classification to Ranking", "Department of Mathematics, Wayne State University, Detroit, MI, USA", "Wayne State University", "Wayne State University", "Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA", "42.35775700", "-83.06286711", "edu", "", "2018"], ["Recognizing images across age progressions: A comprehensive review", "Dept. Information Science Engineering, Govt. of Karnataka R&D, Sahyadri College of Engineering & Management, Mangaluru, Karnataka, India", "India", "India", "India", "20.59368400", "78.96288000", "edu", "", "2015"], ["Multiple Facial Attributes Estimation Based on Weighted Heterogeneous Learning", "", "Tokyo, Japan", "Tokyo, Japan", "Tokyo, Japan", "35.68948750", "139.69170640", "edu", "", "2016"], ["Auxiliary Demographic Information Assisted Age Estimation With Cascaded Structure", "Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV, USA", "West Virginia University", "West Virginia University", "88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA", "39.65404635", "-79.96475355", "edu", "", "2018"], ["A Constrained Deep Neural Network for Ordinal Regression", "", "Nanyang Technological University", "Nanyang Technological University", "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", 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Chengdu, China", "China", "China", "China", "35.86166000", "104.19539700", "edu", "", "2018"], ["AgeDB: The First Manually Collected, In-the-Wild Age Database", "", "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"], ["Multi-Expert Gender Classification on Age Group by Integrating Deep Neural Networks", "", "Yonsei University", "Yonsei University", "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "37.56004060", "126.93692480", "edu", "", "2018"], ["Deep learning application based on embedded GPU", "School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, China", "China", "China", "China", "35.86166000", "104.19539700", 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Campinas, SP, 13083-852, Brazil", "Universidade Estadual de Campinas - Av. Albert Einstein, 1251 - Cidade Universit\u00e1ria, Campinas - SP, 13083-852, Brazil", "-22.81483740", "-47.06477080", "edu", "", "2017"], ["From apparent to real age: gender, age, ethnic, makeup, and expression bias analysis in real age estimation", "", "University of Barcelona", "University of Barcelona", "Universitat de Barcelona, Carrer de la Diputaci\u00f3, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, Espa\u00f1a", "41.38689130", "2.16352385", "edu", "", ""], ["Robust gender classification on unconstrained face images", "Chinese Academy of Sciences, Beijing, China", "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", "", "2015"], ["AFIF4: Deep Gender Classification based on AdaBoost-based Fusion of Isolated Facial Features and Foggy Faces", "", "Assiut University", "Assiut University", "Assiut University, El Shaheed Ellwaa Hasn Kamel street, \u0627\u0644\u0648\u0644\u064a\u062f\u064a\u0629, \u0623\u0633\u064a\u0648\u0637, \u0645\u0635\u0631", "27.18794105", "31.17009498", "edu", "", "2017"], ["Age group classification in the wild with deep RoR architecture", "University of Missouri Department of Electrical and Computer Engineering Columbia, MO, USA", "China", "China", "China", "35.86166000", "104.19539700", "edu", "", "2017"]]}
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