summaryrefslogtreecommitdiff
path: root/site/datasets/citations/adience.json
diff options
context:
space:
mode:
Diffstat (limited to 'site/datasets/citations/adience.json')
-rw-r--r--site/datasets/citations/adience.json2
1 files changed, 1 insertions, 1 deletions
diff --git a/site/datasets/citations/adience.json b/site/datasets/citations/adience.json
index bd6210ce..9c3507a3 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": "Open University of Israel", "country": "Israel", "address_type": "edu", "lat": "32.77824165", "lng": "34.99565673", "pdf_link": "http://www.openu.ac.il/home/hassner/Adience/EidingerEnbarHassner_tifs.pdf", "report_link": "papers/1be498d4bbc30c3bfd0029114c784bc2114d67c0.html", "citation_count": 168, "citations_geocoded": 101, "citations_unknown": 67, "citations_empty": 5, "citations_pdf": 94, "citations_doi": 78, "name": "Adience"}, "address": ["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", "32.77824165", "34.99565673", "edu", "", "Israel"], "citations": [["Age invariant face recognition: a survey on facial aging databases, techniques and effect of aging", "Department of Electronics and Communication Engineering, Visvesvaraya National Institute of Technology, Nagpur, India", "India", "India", "India", "20.59368400", "78.96288000", "edu", "", "", "2018"], ["Are you eligible? Predicting adulthood from face images via class specific mean autoencoder", "", "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", "2018"], ["Convolutional Neural Networks for Age and Gender Classification", "", "Stanford University", "Stanford University", "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "37.43131385", "-122.16936535", "edu", "", "United States", "2016"], ["Label-Sensitive Deep Metric Learning for Facial Age Estimation", "Department of Automation, State Key Lab of Intelligent Technologies and Systems, Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, China", "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", "2018"], ["Deep Multi-task Representation Learning: A Tensor Factorisation Approach", "", "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", "", "United Kingdom", "2016"], ["Deep Cost-Sensitive and Order-Preserving Feature Learning for Cross-Population Age Estimation", "", "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", ""], ["Customer and target individual face analysis for retail analytics", "Asian Institute of Technology (AIT), Pathum Thani 12120, Thailand", "Asian Institute of Technology (AIT), Pathum Thani 12120, Thailand", "Asian Institute of Technology (AIT), Pathum Thani 12120, Thailand", "58 \u0e2b\u0e21\u0e39\u0e48\u0e17\u0e35\u0e48 9 Phahonyothin Rd, Khlong Nueng, Khlong Luang District, Pathum Thani 12120, Thailand", "14.07850000", "100.61403620", "edu", "", "Thailand", "2018"], ["2^B3^C: 2 Box 3 Crop of Facial Image for Gender Classification with Convolutional Networks", "", "India", "India", "India", "20.59368400", "78.96288000", "edu", "", "", "2018"], ["Computationally efficient template-based face recognition", "Information Sciences Institute, University of Southern California, 4676 Admiralty Way, Marina Del Rey, 90292, USA", "University of Southern California", "University of Southern California", "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "34.02241490", "-118.28634407", "edu", "", "United States", "2016"], ["Efficient Gender Classification Using a Deep LDA-Pruned Net", "", "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", "edu", "", "Canada", "2017"], ["Deep learning for fusing multi-sensor person-borne IED data", "Solid State Scientific Corporation, 27-2 Wright Road, Hollis, NH 03049, United States of America", "Solid State Scientific Corporation, 27-2 Wright Road, Hollis, NH 03049, United States of America", "Solid State Scientific Corporation, 27-2 Wright Road, Hollis, NH 03049, United States of America", "27-2 Wright Rd, Hollis, NH 03049, USA", "42.73887570", "-71.55718010", "edu", "", "United States", "2017"], ["MODE: automated neural network model debugging via state differential analysis and input selection", "Purdue University, USA", "Purdue University", "Purdue University", "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "40.43197220", "-86.92389368", "edu", "", "United States", "2018"], ["An Active Age Estimation of Facial image using Anthropometric Model and Fast ICA", "", "Bangalore Institute of Technology", "Bangalore Institute of Technology", "Bangalore Institute of Technology, Krishna Rajendra Road, Mavalli, Vishveshwara Puram, South Zone, Bengaluru, Bangalore Urban, Karnataka, 560004, India", "12.95512590", "77.57419850", "edu", "", "India", "2017"], ["Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks", "", "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", "", "United States", "2016"], ["Feature extraction for facial age estimation: A survey", "Department of Computer Engineering, CGPIT, Uka Tarsadia University, Bardoli, Surat, India", "India", "India", "India", "20.59368400", "78.96288000", "edu", "", "", "2016"], ["Pyramidal RoR for image classification", "", "North China Electric Power University", "North China Electric Power University", "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "38.87604460", "115.49738730", "edu", "", "China", "2017"], ["Cluster convolutional neural networks for facial age estimation", "Tsinghua National Lab for Info. Sci. & Tech., Depart. of Computer Sci. & Tech., Tsinghua University, Beijing, China", "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"], ["Fisher Pruning of Deep Nets for Facial Trait 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", "edu", "", "Canada", "2018"], ["Segment-based Methods for Facial Attribute Detection from Partial Faces", "", "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"], ["Learning a lightweight deep convolutional network for joint age and gender recognition", "Sun Yat-sen University, China", "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", "2016"], ["A Study on Apparent Age Estimation", "", "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", "2015"], ["Using Ranking-CNN for Age Estimation", "", "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", "", "United States", "2017"], ["Joint Estimation of Age and Gender from Unconstrained Face Images Using Lightweight Multi-Task CNN for Mobile Applications", "", "Institute of Information Science", "Institute of Information Science", "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "25.04107280", "121.61475620", "edu", "", "Taiwan", "2018"], ["Age/gender classification with whole-component convolutional neural networks (WC-CNN)", "", "University of Southern California", "University of Southern California", "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "34.02241490", "-118.28634407", "edu", "", "United States", "2017"], ["Level Playing Field for Million Scale Face Recognition", "University of Washington", "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", "", "United States", "2017"], ["FacePoseNet: Making a Case for Landmark-Free Face Alignment", "", "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", "32.77824165", "34.99565673", "edu", "", "Israel", "2017"], ["A hybrid deep learning CNN-ELM for age and gender classification", "", "Hunan University", "Hunan University", "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "26.88111275", "112.62850666", "edu", "", "China", "2018"], ["Articulated Motion and Deformable Objects", "University of Surrey, Guildford, United Kingdom", "University of Surrey", "University of Surrey", "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "51.24303255", "-0.59001382", "edu", "", "United Kingdom", "2014"], ["Image scoring: Patch based CNN model for small or medium dataset", "Sichuan Police College, Luzhou, China", "Sichuan Police College, Luzhou, China", "Sichuan Police College, Luzhou, China", "China, Sichuan Sheng, Luzhou Shi, Jiangyang Qu, \u6c5f\u9633\u897f\u8def34\u53f7", "28.87451300", "105.43182700", "edu", "", "China", "2017"], ["A cascaded convolutional neural network for age estimation of unconstrained faces", "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", "2016"], ["Positional Ternary Pattern (PTP): An edge based image descriptor for human age recognition", "Dept of Computer Engineering, Kyung Hee University, Yongin-si, South Korea", "Kyung Hee University", "Kyung Hee University", "Kyung Hee Tae Kwon Do, Vons 2370 Truck Service Ramp, University City, San Diego, San Diego County, California, 92122, USA", "32.85363330", "-117.20352860", "edu", "", "United States", "2016"], ["Understanding and Comparing Deep Neural Networks for Age and Gender Classification", "", "Singapore", "Singapore", "Singapore", "1.35208300", "103.81983600", "edu", "", "Singapore", "2017"], ["Age estimation based on face images and pre-trained convolutional neural networks", "Department of Computer Science, Universit\u00e0 degli Studi di Milano, Italy", "Universit\u00e0 degli Studi di Milano", "Universit\u00e0 degli Studi di Milano", "Universit\u00e0 degli Studi di Milano, Via Camillo Golgi, Citt\u00e0 Studi, Milano, MI, LOM, 20133, Italia", "45.47567215", "9.23336232", "edu", "", "Italy", "2017"], ["Age and gender estimation using deep residual learning network", "Seoul National University", "Seoul National University", "Seoul National University", "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "37.26728000", "126.98411510", "edu", "", "South Korea", "2018"], ["HOG-assisted deep feature learning for pedestrian gender recognition", "", "Nanyang Technological University", "Nanyang Technological University", "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "1.34841040", "103.68297965", "edu", "", "Singapore", "2018"], ["Privacy-Preserving Age Estimation for Content Rating", "", "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"], ["How to Train Your Deep Neural Network with Dictionary Learning", "", "India", "India", "India", "20.59368400", "78.96288000", "edu", "", "", "2016"], ["Head pose estimation using learned discretization", "Department of Computing Sciences, Elon University", "Elon University", "Elon University", "Amphitheater, North Antioch Avenue, Elon, Alamance County, North Carolina, 27244, USA", "36.10179560", "-79.50173300", "edu", "", "United States", "2017"], ["A Gender Recognition System from Facial Image", "", "University of Dhaka", "University of Dhaka", "World War Memorial, Shahid Minar Rd, Jagannath Hall, DU, \u099c\u09bf\u0997\u09be\u09a4\u09b2\u09be, \u09a2\u09be\u0995\u09be, \u09a2\u09be\u0995\u09be \u09ac\u09bf\u09ad\u09be\u0997, 1000, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "23.73169570", "90.39652750", "edu", "", "Bangladesh", "2018"], ["Deep Learning for Computer Vision: A Brief Review", "", "National Technical University of Athens", "National Technical University of Athens", "\u0395\u03b8\u03bd\u03b9\u03ba\u03cc \u039c\u03b5\u03c4\u03c3\u03cc\u03b2\u03b9\u03bf \u03a0\u03bf\u03bb\u03c5\u03c4\u03b5\u03c7\u03bd\u03b5\u03af\u03bf, \u03a3\u03c4\u03bf\u03c5\u03c1\u03bd\u03ac\u03c1\u03b7, \u039c\u03bf\u03c5\u03c3\u03b5\u03af\u03bf, \u0391\u03b8\u03ae\u03bd\u03b1, \u0394\u03ae\u03bc\u03bf\u03c2 \u0391\u03b8\u03b7\u03bd\u03b1\u03af\u03c9\u03bd, \u03a0.\u0395. \u039a\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03bf\u03cd \u03a4\u03bf\u03bc\u03ad\u03b1 \u0391\u03b8\u03b7\u03bd\u03ce\u03bd, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u0391\u03c4\u03c4\u03b9\u03ba\u03ae\u03c2, \u0391\u03c4\u03c4\u03b9\u03ba\u03ae, 11250, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "37.98782705", "23.73179733", "edu", "", "Greece", "2018"], ["Comparison of Recent Machine Learning Techniques for Gender Recognition from Facial Images", "", "Central Washington University", "Central Washington University", "Central Washington University, Dean Nicholson Boulevard, Ellensburg, Kittitas County, Washington, 98926, USA", "47.00646895", "-120.53673040", "edu", "", "United States", "2016"], ["ExpNet: Landmark-Free, Deep, 3D Facial Expressions", "", "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", "32.77824165", "34.99565673", "edu", "", "Israel", "2018"], ["Automatic gender recognition for \u201cin the wild\u201d facial images using convolutional neural networks", "Faculty of Computer Science, Technical University, Cluj-Napoca, Romania", "Technical University", "Faculty of Computer Science, Technical University, Cluj-Napoca, Romania", "Strada George Bari\u021biu 26-28, Cluj-Napoca 400027, Romania", "46.77235810", "23.58520750", "edu", "", "Romania", "2017"], ["Gender classification in live videos", "CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, University of Science and Technology of China, Hefei 230027, China", "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", "", "China", "2017"], ["Merging Deep Neural Networks for Mobile Devices", "", "Institute of Information Science", "Institute of Information Science", "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "25.04107280", "121.61475620", "edu", "", "Taiwan", ""], ["Structured Output SVM Prediction of Apparent Age, Gender and Smile from Deep Features", "", "ETH Zurich", "ETH Zurich", "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "47.37631300", "8.54766990", "edu", "", "Switzerland", "2016"], ["Real-time embedded age and gender classification in unconstrained video", "", "University of Ottawa", "University of Ottawa", "University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada", "45.42580475", "-75.68740118", "edu", "", "Canada", "2015"], ["Gender recognition from face images with deep learning", "Enformatik B\u00f6l\u00fcm\u00fc Firat \u00dcniversitesi Elazi\u011f, T\u00fcrkiye", "Enerji Sistemleri M\u00fch. B\u00f6l\u00fcm\u00fc Teknoloji Fak\u00fcltesi, Firat \u00dcniversitesi Elazi\u011f, T\u00fcrkiye", "Enerji Sistemleri M\u00fch. B\u00f6l\u00fcm\u00fc Teknoloji Fak\u00fcltesi, Firat \u00dcniversitesi Elazi\u011f, T\u00fcrkiye", "\u00dcniversite Mahallesi, 23200 El\u00e2z\u0131\u011f Merkez/Elaz\u0131\u011f, Turkey", "38.68127590", "39.19608300", "edu", "", "Turkey", "2017"], ["Feeding Hand-Crafted Features for Enhancing the Performance of Convolutional Neural Networks", "", "Seoul National University", "Seoul National University", "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "37.26728000", "126.98411510", "edu", "", "South Korea", "2018"], ["VEGAC: Visual Saliency-based Age, Gender, and Facial Expression Classification Using Convolutional Neural Networks", "", "India", "India", "India", "20.59368400", "78.96288000", "edu", "", "", "2018"], ["Directional Age-Primitive Pattern (DAPP) for Human Age Group Recognition and Age Estimation", "Institute of Information Technology, University of Dhaka, Dhaka, Bangladesh", "Institute of Information Technology", "Institute of Information Technology", "Institute of Information Technology, Sir Sayed Road, \u09ab\u0995\u09bf\u09b0\u09be\u09aa\u09c1\u09b2, \u09b8\u09bf\u09a6\u09cd\u09a6\u09bf\u0995 \u09ac\u09be\u099c\u09be\u09b0, \u09a2\u09be\u0995\u09be, \u09a2\u09be\u0995\u09be \u09ac\u09bf\u09ad\u09be\u0997, 1000, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "23.72898990", "90.39826820", "edu", "", "Bangladesh", "2017"], ["Deep Reinforcement Learning of Video Games", "", "University of Groningen", "University of Groningen", "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "53.21967825", "6.56251482", "edu", "", "Netherlands", "2017"], ["Deep Convolutional Neural Network for Age Estimation based on VGG-Face Model", "", "University of Bridgeport", "University of Bridgeport", "University of Bridgeport, Park Avenue, Bridgeport Downtown South Historic District, Bridgeport, Fairfield County, Connecticut, 06825, USA", "41.16648580", "-73.19205640", "edu", "", "United States", "2017"], ["Unconstrained gender classification by multi-resolution LPQ and SIFT", "Faculty of Information Technology, Vietnam Maritime University, 484 Lach tray, Ngo Quyen, Hai Phong", "Vietnam Maritime University", "Faculty of Information Technology, Vietnam Maritime University, 484 Lach tray, Le Chan, Hai Phong", "484 L\u1ea1ch Tray, \u0110\u1ed5ng Qu\u1ed1c B\u00ecnh, L\u00ea Ch\u00e2n, H\u1ea3i Ph\u00f2ng, Vietnam", "20.83685390", "106.69420870", "edu", "", "Vietnam", "2016"], ["Deep Convolutional Neural Networks and Support Vector Machines for Gender Recognition", "", "University of Groningen", "University of Groningen", "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "53.21967825", "6.56251482", "edu", "", "Netherlands", "2015"], ["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"], ["2017 Trojaning Attack on Neural Networks", "", "Nanjing University", "Nanjing University", "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "32.05659570", "118.77408833", "edu", "", "China", "2018"], ["Neural Networks with Smooth Adaptive Activation Functions for Regression", "", "Oak Ridge National Laboratory", "Oak Ridge National Laboratory", "Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA", "35.93006535", "-84.31240032", "edu", "", "United States", "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", "", "United States", "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", "", "United States", "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", "edu", "", "Canada", "2017"], ["Apparent Age Estimation Using Ensemble of Deep Learning Models", "", "Istanbul Technical University", "Istanbul Technical University", "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "41.10427915", "29.02231159", "edu", "", "Turkey", "2016"], ["Rapid one-shot acquisition of dynamic VR avatars", "Walt Disney Imagineering, USA", "Walt Disney Imagineering", "Walt Disney Imagineering, USA", "Walt Disney Imagineering, 1401, Flower Street, Grand Central Creative Campus, Glendale, Los Angeles County, California, 91201, USA", "34.16191740", "-118.28837020", "company", "", "United States", "2017"], ["D2C: Deep cumulatively and comparatively learning for human age estimation", "", "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", "", "China", "2017"], ["A study on face recognition techniques with age and gender classification", "Department of Electronics and Communication Engineering, PEC University of Technology, Chandigarh-160012, India", "India", "India", "India", "20.59368400", "78.96288000", "edu", "", "", "2017"], ["Multinomial Naive Bayes for real-time gender recognition", "Geospatial Laboratory, Universidad Cat\u00f3lica del Maule, Talca, Chile", "Geospatial Laboratory, Universidad Cat\u00f3lica del Maule, Talca, Chile", "Geospatial Laboratory, Universidad Cat\u00f3lica del Maule, Talca, Chile", "Av. San Miguel 3605, Talca, Regi\u00f3n del Maule, Chile", "-35.43542180", "-71.61999980", "edu", "", "Germany", "2016"], ["Lapped convolutional neural networks for embedded systems", "AltumView Systems Inc., Burnaby, BC, Canada", "AltumView Systems Inc., Burnaby, BC, Canada", "AltumView Systems Inc., Burnaby, BC, Canada", "8525 Baxter Pl, Burnaby, BC V5A 4V7, Canada", "49.25938790", "-122.91518930", "company", "", "Canada", "2017"], ["Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks", "", "India", "India", "India", "20.59368400", "78.96288000", "edu", "", "", "2018"], ["Age and gender classification using wide convolutional neural network and Gabor filter", "Seoul Nat'l Univ.", "Seoul National University", "Seoul National University", "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "37.26728000", "126.98411510", "edu", "", "South Korea", "2018"], ["The MegaFace Benchmark: 1 Million Faces for Recognition at Scale", "", "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", "", "United States", "2016"], ["Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks", "ETH Zurich", "ETH Zurich", "ETH Zurich", "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "47.37631300", "8.54766990", "edu", "", "Switzerland", "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", "", "Finland", "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", "", "Italy", "2017"], ["Deep Facial Age Estimation Using Conditional Multitask Learning With Weak Label Expansion", "Software Solution Laboratory, Samsung Advanced Institute of Technology, Suwon-si, South Korea", "Samsung SAIT, Korea", "Advanced Media Lab. 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", "", "South Korea", "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"], ["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", "", "United States", "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"], ["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", "", "United States", "2018"], ["A Constrained Deep Neural Network for Ordinal Regression", "", "Singapore", "Singapore", "Singapore", "1.35208300", "103.81983600", "edu", "", "Singapore", ""], ["ChaLearn looking at people 2015 new competitions: Age estimation and cultural event recognition", "", "University of Venezia", "University of Venezia", "University, Fondamenta Toffetti, Dorsoduro, Venezia-Murano-Burano, Venezia, VE, VEN, 30123, Italia", "45.43127420", "12.32653770", "edu", "", "Italy", "2015"], ["Unconstrained Age Estimation with Deep Convolutional Neural Networks", "", "Rutgers University", "Rutgers University", "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "40.47913175", "-74.43168868", "edu", "", "United States", "2015"], ["Facial Landmark Detection with Tweaked Convolutional Neural Networks", "", "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", "32.77824165", "34.99565673", "edu", "", "Israel", "2018"], ["On the detection of images containing child-pornographic material", "Visual Media Computing Lab, Department of Multimedia and Graphic Arts, Cyprus University of Technology, Limassol, Cyprus", "Cyprus University of Technology", "Cyprus University of Technology", "Mitropoli Building - Cyprus University of Technology, Anexartisias, Limasol - \u039b\u03b5\u03bc\u03b5\u03c3\u03cc\u03c2, Limassol - \u039b\u03b5\u03bc\u03b5\u03c3\u03cc\u03c2, \u039a\u03cd\u03c0\u03c1\u03bf\u03c2 - K\u0131br\u0131s, 3036, \u039a\u03cd\u03c0\u03c1\u03bf\u03c2 - K\u0131br\u0131s", "34.67567405", "33.04577648", "edu", "", "Cyprus", "2017"], ["An optimization framework of video advertising: using deep learning algorithm based on global image information", "Research Center for Smart Tourism Technology Application and Innovation, Sichuan Tourism University, Chengdu, China", "Sichuan Tourism University", "Research Center for Smart Tourism Technology Application and Innovation, Sichuan Tourism University, Chengdu, China", "459 Hongling Rd, Longquanyi Qu, Chengdu Shi, Sichuan Sheng, China", "30.57890800", "104.27712000", "edu", "", "China", "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", "", "United Kingdom", "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", "", "South Korea", "2018"], ["Deep learning application based on embedded GPU", "School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, China", "Harbin Institute of Technology", "Harbin Institute of Technology", "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "45.74139210", "126.62552755", "edu", "", "China", "2017"], ["Age classification with deep learning face representation", "School of Software Engineering, South China University of Technology, Guangzhou, China", "South China University of Technology", "South China University of Technology", "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "23.05020420", "113.39880323", "edu", "", "China", "2017"], ["Smart Parental Advisory: A Usage Control and Deep Learning-Based Framework for Dynamic Parental Control on Smart TV", "Istituto di Informatica e Telematica, Consiglio Nazionale delle Ricerche, Pisa, Italy", "Istituto di Informatica e Telematica, Consiglio Nazionale delle Ricerche, Pisa, Italy", "Istituto di Informatica e Telematica, Consiglio Nazionale delle Ricerche, Pisa, Italy", "Via Giuseppe Moruzzi, 1, 56124 Pisa PI, Italy", "43.71925220", "10.42399480", "edu", "", "", "2017"], ["Bimodal Vein Data Mining via Cross-Selected-Domain Knowledge Transfer", "Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China", "East China Normal University", "East China Normal University", "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "31.22849230", "121.40211389", "edu", "", "China", "2018"], ["Data-specific Adaptive Threshold for Face Recognition and Authentication", "", "Institute of Information Science", "Institute of Information Science", "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "25.04107280", "121.61475620", "edu", "", "Taiwan", "2018"], ["Comparative evaluation of age classification from facial images", "Department of Electronics and Telecommunication Engineering, Don Bosco Institute of Technology, Kurla (W), Mumbai, India", "India", "India", "India", "20.59368400", "78.96288000", "edu", "", "", "2015"], ["Extended multi-spectral face recognition across two different age groups: an empirical study", "NTNU, Norway", "NTNU, Norway", "NTNU, Norway", "H\u00f8gskoleringen 1, 7491 Trondheim, Norway", "63.41949900", "10.40207710", "edu", "", "Norway", "2016"], ["Analyzing impact of image scaling algorithms on viola-jones face detection framework", "IC Design Group, CSIR-Central Electronics Engineering Research Institute, Pilani, Rajasthan, India", "Central Electronics Research Institute, Pilani, India", "Advanced Electronics System, Academy of Scientific and Industrial Research, CSIR-Central Electronics Research Institute, Pilani, India", "Central Electronics Engineering Research Institute, Pilani, Rajasthan 333031, India", "28.36561930", "75.58349530", "edu", "", "India", "2015"], ["Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition", "", "Korea Advanced Institute of Science and Technology", "Korea Advanced Institute of Science and Technology", "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "36.36971910", "127.36253700", "edu", "", "South Korea", "2015"], ["Gender classification by LPQ features from intensity and Monogenic images", "Faculty of Information Technology, Vietnam Maritime University, 484 Lach tray, Le Chan, Hai Phong", "Vietnam Maritime University", "Faculty of Information Technology, Vietnam Maritime University, 484 Lach tray, Le Chan, Hai Phong", "484 L\u1ea1ch Tray, \u0110\u1ed5ng Qu\u1ed1c B\u00ecnh, L\u00ea Ch\u00e2n, H\u1ea3i Ph\u00f2ng, Vietnam", "20.83685390", "106.69420870", "edu", "", "Vietnam", "2017"], ["Evaluating gender portrayal in Bangladeshi TV", "", "MIT", "Massachusetts Institute", "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "42.35839610", "-71.09567788", "edu", "", "United States", "2017"], ["Gender recognition from face images using a geometric descriptor", "Institute of Computing, University of Campinas (UNICAMP), Campinas, SP, 13083-852, Brazil", "University of Campinas (UNICAMP)", "Institute of Computing, University of Campinas (UNICAMP), 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", "", "Brazil", "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", "", "Spain", ""], ["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", "", "China", "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", "", "Egypt", "2017"]]} \ No newline at end of file
+{"id": "1be498d4bbc30c3bfd0029114c784bc2114d67c0", "paper": {"paperId": "1be498d4bbc30c3bfd0029114c784bc2114d67c0", "key": "adience", "title": "Age and Gender Estimation of Unfiltered Faces", "journal": "IEEE Transactions on Information Forensics and Security", "address": "Open University of Israel", "country": "Israel", "address_type": "edu", "lat": "32.77824165", "lng": "34.99565673", "pdf_link": "http://www.openu.ac.il/home/hassner/Adience/EidingerEnbarHassner_tifs.pdf", "report_link": "papers/1be498d4bbc30c3bfd0029114c784bc2114d67c0.html", "citation_count": 168, "citations_geocoded": 92, "citations_unknown": 76, "citations_empty": 5, "citations_pdf": 94, "citations_doi": 78, "name": "Adience"}, "address": ["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", "32.77824165", "34.99565673", "edu", "", "Israel"], "citations": [["Are you eligible? Predicting adulthood from face images via class specific mean autoencoder", "", "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", "2018"], ["Convolutional Neural Networks for Age and Gender Classification", "", "Stanford University", "Stanford University", "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "37.43131385", "-122.16936535", "edu", "", "United States", "2016"], ["Label-Sensitive Deep Metric Learning for Facial Age Estimation", "Department of Automation, State Key Lab of Intelligent Technologies and Systems, Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, China", "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", "2018"], ["Deep Multi-task Representation Learning: A Tensor Factorisation Approach", "", "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", "", "United Kingdom", "2016"], ["Deep Cost-Sensitive and Order-Preserving Feature Learning for Cross-Population Age Estimation", "", "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", ""], ["Customer and target individual face analysis for retail analytics", "Asian Institute of Technology (AIT), Pathum Thani 12120, Thailand", "Asian Institute of Technology (AIT), Pathum Thani 12120, Thailand", "Asian Institute of Technology (AIT), Pathum Thani 12120, Thailand", "58 \u0e2b\u0e21\u0e39\u0e48\u0e17\u0e35\u0e48 9 Phahonyothin Rd, Khlong Nueng, Khlong Luang District, Pathum Thani 12120, Thailand", "14.07850000", "100.61403620", "edu", "", "Thailand", "2018"], ["Computationally efficient template-based face recognition", "Information Sciences Institute, University of Southern California, 4676 Admiralty Way, Marina Del Rey, 90292, USA", "University of Southern California", "University of Southern California", "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "34.02241490", "-118.28634407", "edu", "", "United States", "2016"], ["Efficient Gender Classification Using a Deep LDA-Pruned Net", "", "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", "edu", "", "Canada", "2017"], ["Deep learning for fusing multi-sensor person-borne IED data", "Solid State Scientific Corporation, 27-2 Wright Road, Hollis, NH 03049, United States of America", "Solid State Scientific Corporation, 27-2 Wright Road, Hollis, NH 03049, United States of America", "Solid State Scientific Corporation, 27-2 Wright Road, Hollis, NH 03049, United States of America", "27-2 Wright Rd, Hollis, NH 03049, USA", "42.73887570", "-71.55718010", "edu", "", "United States", "2017"], ["MODE: automated neural network model debugging via state differential analysis and input selection", "Purdue University, USA", "Purdue University", "Purdue University", "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "40.43197220", "-86.92389368", "edu", "", "United States", "2018"], ["An Active Age Estimation of Facial image using Anthropometric Model and Fast ICA", "", "Bangalore Institute of Technology", "Bangalore Institute of Technology", "Bangalore Institute of Technology, Krishna Rajendra Road, Mavalli, Vishveshwara Puram, South Zone, Bengaluru, Bangalore Urban, Karnataka, 560004, India", "12.95512590", "77.57419850", "edu", "", "India", "2017"], ["Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks", "", "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", "", "United States", "2016"], ["Pyramidal RoR for image classification", "", "North China Electric Power University", "North China Electric Power University", "\u534e\u5317\u7535\u529b\u5927\u5b66, \u6c38\u534e\u5317\u5927\u8857, \u83b2\u6c60\u533a, \u4fdd\u5b9a\u5e02, \u83b2\u6c60\u533a (Lianchi), \u4fdd\u5b9a\u5e02, \u6cb3\u5317\u7701, 071000, \u4e2d\u56fd", "38.87604460", "115.49738730", "edu", "", "China", "2017"], ["Cluster convolutional neural networks for facial age estimation", "Tsinghua National Lab for Info. Sci. & Tech., Depart. of Computer Sci. & Tech., Tsinghua University, Beijing, China", "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"], ["Fisher Pruning of Deep Nets for Facial Trait 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", "edu", "", "Canada", "2018"], ["Segment-based Methods for Facial Attribute Detection from Partial Faces", "", "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"], ["Learning a lightweight deep convolutional network for joint age and gender recognition", "Sun Yat-sen University, China", "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", "2016"], ["A Study on Apparent Age Estimation", "", "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", "2015"], ["Using Ranking-CNN for Age Estimation", "", "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", "", "United States", "2017"], ["Joint Estimation of Age and Gender from Unconstrained Face Images Using Lightweight Multi-Task CNN for Mobile Applications", "", "Institute of Information Science", "Institute of Information Science", "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "25.04107280", "121.61475620", "edu", "", "Taiwan", "2018"], ["Age/gender classification with whole-component convolutional neural networks (WC-CNN)", "", "University of Southern California", "University of Southern California", "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "34.02241490", "-118.28634407", "edu", "", "United States", "2017"], ["Level Playing Field for Million Scale Face Recognition", "University of Washington", "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", "", "United States", "2017"], ["FacePoseNet: Making a Case for Landmark-Free Face Alignment", "", "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", "32.77824165", "34.99565673", "edu", "", "Israel", "2017"], ["A hybrid deep learning CNN-ELM for age and gender classification", "", "Hunan University", "Hunan University", "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "26.88111275", "112.62850666", "edu", "", "China", "2018"], ["Articulated Motion and Deformable Objects", "University of Surrey, Guildford, United Kingdom", "University of Surrey", "University of Surrey", "University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK", "51.24303255", "-0.59001382", "edu", "", "United Kingdom", "2014"], ["Image scoring: Patch based CNN model for small or medium dataset", "Sichuan Police College, Luzhou, China", "Sichuan Police College, Luzhou, China", "Sichuan Police College, Luzhou, China", "China, Sichuan Sheng, Luzhou Shi, Jiangyang Qu, \u6c5f\u9633\u897f\u8def34\u53f7", "28.87451300", "105.43182700", "edu", "", "China", "2017"], ["A cascaded convolutional neural network for age estimation of unconstrained faces", "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", "2016"], ["Positional Ternary Pattern (PTP): An edge based image descriptor for human age recognition", "Dept of Computer Engineering, Kyung Hee University, Yongin-si, South Korea", "Kyung Hee University", "Kyung Hee University", "Kyung Hee Tae Kwon Do, Vons 2370 Truck Service Ramp, University City, San Diego, San Diego County, California, 92122, USA", "32.85363330", "-117.20352860", "edu", "", "United States", "2016"], ["Understanding and Comparing Deep Neural Networks for Age and Gender Classification", "", "Singapore", "Singapore", "Singapore", "1.35208300", "103.81983600", "edu", "", "Singapore", "2017"], ["Age estimation based on face images and pre-trained convolutional neural networks", "Department of Computer Science, Universit\u00e0 degli Studi di Milano, Italy", "Universit\u00e0 degli Studi di Milano", "Universit\u00e0 degli Studi di Milano", "Universit\u00e0 degli Studi di Milano, Via Camillo Golgi, Citt\u00e0 Studi, Milano, MI, LOM, 20133, Italia", "45.47567215", "9.23336232", "edu", "", "Italy", "2017"], ["Age and gender estimation using deep residual learning network", "Seoul National University", "Seoul National University", "Seoul National University", "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "37.26728000", "126.98411510", "edu", "", "South Korea", "2018"], ["HOG-assisted deep feature learning for pedestrian gender recognition", "", "Nanyang Technological University", "Nanyang Technological University", "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "1.34841040", "103.68297965", "edu", "", "Singapore", "2018"], ["Privacy-Preserving Age Estimation for Content Rating", "", "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"], ["Head pose estimation using learned discretization", "Department of Computing Sciences, Elon University", "Elon University", "Elon University", "Amphitheater, North Antioch Avenue, Elon, Alamance County, North Carolina, 27244, USA", "36.10179560", "-79.50173300", "edu", "", "United States", "2017"], ["A Gender Recognition System from Facial Image", "", "University of Dhaka", "University of Dhaka", "World War Memorial, Shahid Minar Rd, Jagannath Hall, DU, \u099c\u09bf\u0997\u09be\u09a4\u09b2\u09be, \u09a2\u09be\u0995\u09be, \u09a2\u09be\u0995\u09be \u09ac\u09bf\u09ad\u09be\u0997, 1000, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "23.73169570", "90.39652750", "edu", "", "Bangladesh", "2018"], ["Deep Learning for Computer Vision: A Brief Review", "", "National Technical University of Athens", "National Technical University of Athens", "\u0395\u03b8\u03bd\u03b9\u03ba\u03cc \u039c\u03b5\u03c4\u03c3\u03cc\u03b2\u03b9\u03bf \u03a0\u03bf\u03bb\u03c5\u03c4\u03b5\u03c7\u03bd\u03b5\u03af\u03bf, \u03a3\u03c4\u03bf\u03c5\u03c1\u03bd\u03ac\u03c1\u03b7, \u039c\u03bf\u03c5\u03c3\u03b5\u03af\u03bf, \u0391\u03b8\u03ae\u03bd\u03b1, \u0394\u03ae\u03bc\u03bf\u03c2 \u0391\u03b8\u03b7\u03bd\u03b1\u03af\u03c9\u03bd, \u03a0.\u0395. \u039a\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03bf\u03cd \u03a4\u03bf\u03bc\u03ad\u03b1 \u0391\u03b8\u03b7\u03bd\u03ce\u03bd, \u03a0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03b9\u03b1 \u0391\u03c4\u03c4\u03b9\u03ba\u03ae\u03c2, \u0391\u03c4\u03c4\u03b9\u03ba\u03ae, 11250, \u0395\u03bb\u03bb\u03ac\u03b4\u03b1", "37.98782705", "23.73179733", "edu", "", "Greece", "2018"], ["Comparison of Recent Machine Learning Techniques for Gender Recognition from Facial Images", "", "Central Washington University", "Central Washington University", "Central Washington University, Dean Nicholson Boulevard, Ellensburg, Kittitas County, Washington, 98926, USA", "47.00646895", "-120.53673040", "edu", "", "United States", "2016"], ["ExpNet: Landmark-Free, Deep, 3D Facial Expressions", "", "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", "32.77824165", "34.99565673", "edu", "", "Israel", "2018"], ["Automatic gender recognition for \u201cin the wild\u201d facial images using convolutional neural networks", "Faculty of Computer Science, Technical University, Cluj-Napoca, Romania", "Technical University", "Faculty of Computer Science, Technical University, Cluj-Napoca, Romania", "Strada George Bari\u021biu 26-28, Cluj-Napoca 400027, Romania", "46.77235810", "23.58520750", "edu", "", "Romania", "2017"], ["Gender classification in live videos", "CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, University of Science and Technology of China, Hefei 230027, China", "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", "", "China", "2017"], ["Merging Deep Neural Networks for Mobile Devices", "", "Institute of Information Science", "Institute of Information Science", "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "25.04107280", "121.61475620", "edu", "", "Taiwan", ""], ["Structured Output SVM Prediction of Apparent Age, Gender and Smile from Deep Features", "", "ETH Zurich", "ETH Zurich", "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "47.37631300", "8.54766990", "edu", "", "Switzerland", "2016"], ["Real-time embedded age and gender classification in unconstrained video", "", "University of Ottawa", "University of Ottawa", "University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada", "45.42580475", "-75.68740118", "edu", "", "Canada", "2015"], ["Gender recognition from face images with deep learning", "Enformatik B\u00f6l\u00fcm\u00fc Firat \u00dcniversitesi Elazi\u011f, T\u00fcrkiye", "Enerji Sistemleri M\u00fch. B\u00f6l\u00fcm\u00fc Teknoloji Fak\u00fcltesi, Firat \u00dcniversitesi Elazi\u011f, T\u00fcrkiye", "Enerji Sistemleri M\u00fch. B\u00f6l\u00fcm\u00fc Teknoloji Fak\u00fcltesi, Firat \u00dcniversitesi Elazi\u011f, T\u00fcrkiye", "\u00dcniversite Mahallesi, 23200 El\u00e2z\u0131\u011f Merkez/Elaz\u0131\u011f, Turkey", "38.68127590", "39.19608300", "edu", "", "Turkey", "2017"], ["Feeding Hand-Crafted Features for Enhancing the Performance of Convolutional Neural Networks", "", "Seoul National University", "Seoul National University", "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "37.26728000", "126.98411510", "edu", "", "South Korea", "2018"], ["Directional Age-Primitive Pattern (DAPP) for Human Age Group Recognition and Age Estimation", "Institute of Information Technology, University of Dhaka, Dhaka, Bangladesh", "Institute of Information Technology", "Institute of Information Technology", "Institute of Information Technology, Sir Sayed Road, \u09ab\u0995\u09bf\u09b0\u09be\u09aa\u09c1\u09b2, \u09b8\u09bf\u09a6\u09cd\u09a6\u09bf\u0995 \u09ac\u09be\u099c\u09be\u09b0, \u09a2\u09be\u0995\u09be, \u09a2\u09be\u0995\u09be \u09ac\u09bf\u09ad\u09be\u0997, 1000, \u09ac\u09be\u0982\u09b2\u09be\u09a6\u09c7\u09b6", "23.72898990", "90.39826820", "edu", "", "Bangladesh", "2017"], ["Deep Reinforcement Learning of Video Games", "", "University of Groningen", "University of Groningen", "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "53.21967825", "6.56251482", "edu", "", "Netherlands", "2017"], ["Deep Convolutional Neural Network for Age Estimation based on VGG-Face Model", "", "University of Bridgeport", "University of Bridgeport", "University of Bridgeport, Park Avenue, Bridgeport Downtown South Historic District, Bridgeport, Fairfield County, Connecticut, 06825, USA", "41.16648580", "-73.19205640", "edu", "", "United States", "2017"], ["Unconstrained gender classification by multi-resolution LPQ and SIFT", "Faculty of Information Technology, Vietnam Maritime University, 484 Lach tray, Ngo Quyen, Hai Phong", "Vietnam Maritime University", "Faculty of Information Technology, Vietnam Maritime University, 484 Lach tray, Le Chan, Hai Phong", "484 L\u1ea1ch Tray, \u0110\u1ed5ng Qu\u1ed1c B\u00ecnh, L\u00ea Ch\u00e2n, H\u1ea3i Ph\u00f2ng, Vietnam", "20.83685390", "106.69420870", "edu", "", "Vietnam", "2016"], ["Deep Convolutional Neural Networks and Support Vector Machines for Gender Recognition", "", "University of Groningen", "University of Groningen", "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "53.21967825", "6.56251482", "edu", "", "Netherlands", "2015"], ["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"], ["2017 Trojaning Attack on Neural Networks", "", "Nanjing University", "Nanjing University", "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "32.05659570", "118.77408833", "edu", "", "China", "2018"], ["Neural Networks with Smooth Adaptive Activation Functions for Regression", "", "Oak Ridge National Laboratory", "Oak Ridge National Laboratory", "Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA", "35.93006535", "-84.31240032", "edu", "", "United States", "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", "", "United States", "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", "", "United States", "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", "edu", "", "Canada", "2017"], ["Apparent Age Estimation Using Ensemble of Deep Learning Models", "", "Istanbul Technical University", "Istanbul Technical University", "Istanbul Technical University, walking path from main road to Simit restaurant, \u0130stanbul Teknik \u00dcniversitesi, Maslak, F.S.M Mahallesi, Sar\u0131yer, \u0130stanbul, Marmara B\u00f6lgesi, 34469, T\u00fcrkiye", "41.10427915", "29.02231159", "edu", "", "Turkey", "2016"], ["Rapid one-shot acquisition of dynamic VR avatars", "Walt Disney Imagineering, USA", "Walt Disney Imagineering", "Walt Disney Imagineering, USA", "Walt Disney Imagineering, 1401, Flower Street, Grand Central Creative Campus, Glendale, Los Angeles County, California, 91201, USA", "34.16191740", "-118.28837020", "company", "", "United States", "2017"], ["D2C: Deep cumulatively and comparatively learning for human age estimation", "", "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", "", "China", "2017"], ["Multinomial Naive Bayes for real-time gender recognition", "Geospatial Laboratory, Universidad Cat\u00f3lica del Maule, Talca, Chile", "Geospatial Laboratory, Universidad Cat\u00f3lica del Maule, Talca, Chile", "Geospatial Laboratory, Universidad Cat\u00f3lica del Maule, Talca, Chile", "Av. San Miguel 3605, Talca, Regi\u00f3n del Maule, Chile", "-35.43542180", "-71.61999980", "edu", "", "Germany", "2016"], ["Lapped convolutional neural networks for embedded systems", "AltumView Systems Inc., Burnaby, BC, Canada", "AltumView Systems Inc., Burnaby, BC, Canada", "AltumView Systems Inc., Burnaby, BC, Canada", "8525 Baxter Pl, Burnaby, BC V5A 4V7, Canada", "49.25938790", "-122.91518930", "company", "", "Canada", "2017"], ["Age and gender classification using wide convolutional neural network and Gabor filter", "Seoul Nat'l Univ.", "Seoul National University", "Seoul National University", "\uc11c\uc6b8\ub300\ud559\uad50, \uc11c\ud638\ub3d9\ub85c, \uc11c\ub454\ub3d9, \uad8c\uc120\uad6c, \uc218\uc6d0\uc2dc, \uacbd\uae30, 16614, \ub300\ud55c\ubbfc\uad6d", "37.26728000", "126.98411510", "edu", "", "South Korea", "2018"], ["The MegaFace Benchmark: 1 Million Faces for Recognition at Scale", "", "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", "", "United States", "2016"], ["Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks", "ETH Zurich", "ETH Zurich", "ETH Zurich", "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "47.37631300", "8.54766990", "edu", "", "Switzerland", "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", "", "Finland", "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", "", "Italy", "2017"], ["Deep Facial Age Estimation Using Conditional Multitask Learning With Weak Label Expansion", "Software Solution Laboratory, Samsung Advanced Institute of Technology, Suwon-si, South Korea", "Samsung SAIT, Korea", "Advanced Media Lab. 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", "", "South Korea", "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"], ["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", "", "United States", "2018"], ["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", "", "United States", "2018"], ["A Constrained Deep Neural Network for Ordinal Regression", "", "Singapore", "Singapore", "Singapore", "1.35208300", "103.81983600", "edu", "", "Singapore", ""], ["ChaLearn looking at people 2015 new competitions: Age estimation and cultural event recognition", "", "University of Venezia", "University of Venezia", "University, Fondamenta Toffetti, Dorsoduro, Venezia-Murano-Burano, Venezia, VE, VEN, 30123, Italia", "45.43127420", "12.32653770", "edu", "", "Italy", "2015"], ["Unconstrained Age Estimation with Deep Convolutional Neural Networks", "", "Rutgers University", "Rutgers University", "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "40.47913175", "-74.43168868", "edu", "", "United States", "2015"], ["Facial Landmark Detection with Tweaked Convolutional Neural Networks", "", "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", "32.77824165", "34.99565673", "edu", "", "Israel", "2018"], ["On the detection of images containing child-pornographic material", "Visual Media Computing Lab, Department of Multimedia and Graphic Arts, Cyprus University of Technology, Limassol, Cyprus", "Cyprus University of Technology", "Cyprus University of Technology", "Mitropoli Building - Cyprus University of Technology, Anexartisias, Limasol - \u039b\u03b5\u03bc\u03b5\u03c3\u03cc\u03c2, Limassol - \u039b\u03b5\u03bc\u03b5\u03c3\u03cc\u03c2, \u039a\u03cd\u03c0\u03c1\u03bf\u03c2 - K\u0131br\u0131s, 3036, \u039a\u03cd\u03c0\u03c1\u03bf\u03c2 - K\u0131br\u0131s", "34.67567405", "33.04577648", "edu", "", "Cyprus", "2017"], ["An optimization framework of video advertising: using deep learning algorithm based on global image information", "Research Center for Smart Tourism Technology Application and Innovation, Sichuan Tourism University, Chengdu, China", "Sichuan Tourism University", "Research Center for Smart Tourism Technology Application and Innovation, Sichuan Tourism University, Chengdu, China", "459 Hongling Rd, Longquanyi Qu, Chengdu Shi, Sichuan Sheng, China", "30.57890800", "104.27712000", "edu", "", "China", "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", "", "United Kingdom", "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", "", "South Korea", "2018"], ["Deep learning application based on embedded GPU", "School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, China", "Harbin Institute of Technology", "Harbin Institute of Technology", "\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66, \u53f8\u4ee4\u8857, \u5357\u5c97\u533a, \u54c8\u5c14\u6ee8\u5e02 / Harbin, \u9ed1\u9f99\u6c5f\u7701, 150000, \u4e2d\u56fd", "45.74139210", "126.62552755", "edu", "", "China", "2017"], ["Age classification with deep learning face representation", "School of Software Engineering, South China University of Technology, Guangzhou, China", "South China University of Technology", "South China University of Technology", "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "23.05020420", "113.39880323", "edu", "", "China", "2017"], ["Smart Parental Advisory: A Usage Control and Deep Learning-Based Framework for Dynamic Parental Control on Smart TV", "Istituto di Informatica e Telematica, Consiglio Nazionale delle Ricerche, Pisa, Italy", "Istituto di Informatica e Telematica, Consiglio Nazionale delle Ricerche, Pisa, Italy", "Istituto di Informatica e Telematica, Consiglio Nazionale delle Ricerche, Pisa, Italy", "Via Giuseppe Moruzzi, 1, 56124 Pisa PI, Italy", "43.71925220", "10.42399480", "edu", "", "", "2017"], ["Bimodal Vein Data Mining via Cross-Selected-Domain Knowledge Transfer", "Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China", "East China Normal University", "East China Normal University", "\u534e\u4e1c\u5e08\u8303\u5927\u5b66, 3663, \u4e2d\u5c71\u5317\u8def, \u66f9\u5bb6\u6e21, \u666e\u9640\u533a, \u666e\u9640\u533a (Putuo), \u4e0a\u6d77\u5e02, 200062, \u4e2d\u56fd", "31.22849230", "121.40211389", "edu", "", "China", "2018"], ["Data-specific Adaptive Threshold for Face Recognition and Authentication", "", "Institute of Information Science", "Institute of Information Science", "\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240, \u6578\u7406\u5927\u9053, \u4e2d\u7814\u91cc, \u5357\u6e2f\u5b50, \u5357\u6e2f\u5340, \u81fa\u5317\u5e02, 11574, \u81fa\u7063", "25.04107280", "121.61475620", "edu", "", "Taiwan", "2018"], ["Extended multi-spectral face recognition across two different age groups: an empirical study", "NTNU, Norway", "NTNU, Norway", "NTNU, Norway", "H\u00f8gskoleringen 1, 7491 Trondheim, Norway", "63.41949900", "10.40207710", "edu", "", "Norway", "2016"], ["Analyzing impact of image scaling algorithms on viola-jones face detection framework", "IC Design Group, CSIR-Central Electronics Engineering Research Institute, Pilani, Rajasthan, India", "Central Electronics Research Institute, Pilani, India", "Advanced Electronics System, Academy of Scientific and Industrial Research, CSIR-Central Electronics Research Institute, Pilani, India", "Central Electronics Engineering Research Institute, Pilani, Rajasthan 333031, India", "28.36561930", "75.58349530", "edu", "", "India", "2015"], ["Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition", "", "Korea Advanced Institute of Science and Technology", "Korea Advanced Institute of Science and Technology", "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "36.36971910", "127.36253700", "edu", "", "South Korea", "2015"], ["Gender classification by LPQ features from intensity and Monogenic images", "Faculty of Information Technology, Vietnam Maritime University, 484 Lach tray, Le Chan, Hai Phong", "Vietnam Maritime University", "Faculty of Information Technology, Vietnam Maritime University, 484 Lach tray, Le Chan, Hai Phong", "484 L\u1ea1ch Tray, \u0110\u1ed5ng Qu\u1ed1c B\u00ecnh, L\u00ea Ch\u00e2n, H\u1ea3i Ph\u00f2ng, Vietnam", "20.83685390", "106.69420870", "edu", "", "Vietnam", "2017"], ["Evaluating gender portrayal in Bangladeshi TV", "", "MIT", "Massachusetts Institute", "MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA", "42.35839610", "-71.09567788", "edu", "", "United States", "2017"], ["Gender recognition from face images using a geometric descriptor", "Institute of Computing, University of Campinas (UNICAMP), Campinas, SP, 13083-852, Brazil", "University of Campinas (UNICAMP)", "Institute of Computing, University of Campinas (UNICAMP), 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", "", "Brazil", "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", "", "Spain", ""], ["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", "", "China", "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", "", "Egypt", "2017"]]} \ No newline at end of file